NDLI: On the complexity of hierarchical problem solving

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Evolutionary form-finding of tensegrity structures

Neighboring crossover to improve GA-based Q-learning method for multi-legged robot control

BeeAdHoc: an energy efficient routing algorithm for mobile ad hoc networks inspired by bee behavior

MeSwarm: memetic particle swarm optimization

Estimating the detector coverage in a negative selection algorithm

RABNET: a real-valued antibody network for data clustering

A hybrid genetic algorithm with pattern search for finding heavy atoms in protein crystals

Identifying valid solutions for the inference of regulatory networks

The MaxSolve algorithm for coevolution

The emulation of social institutions as a method of coevolution

Evolutionary algorithms for the self-organized evolution of networks

Water distribution systems optimal design using cross entropy

Extracted global structure makes local building block processing effective in XCS

Genetic drift in univariate marginal distribution algorithm

Exploiting gradient information in numerical multi--objective evolutionary optimization

Using predators and preys in evolution strategies

On the impact of objective function transformations on evolutionary and black-box algorithms

Niching in evolution strategies

Evolutionary computation applied to the tuning of MEMS gyroscopes

Enhancing differential evolution performance with local search for high dimensional function optimization

Hybrid multiobjective genetic algorithm with a new adaptive local search process

Evolutionary testing of state-based programs

Hybridizing evolutionary algorithms and clustering algorithms to find source-code clones

Memory-based immigrants for genetic algorithms in dynamic environments

GA-facilitated classifier optimization with varying similarity measures

Exploiting disruption aversion to control code bloat

Function choice, resiliency and growth in genetic programming

Modeling systems with internal state using evolino

The compact classifier system: motivation, analysis, and first results

Interactive estimation of agent-based financial markets models: modularity and learning

Heuristic rules embedded genetic algorithm to solve in-core fuel management optimization problem

Constructing good learners using evolved pattern generators

Evolution of multi-loop controllers for fixed morphology with a cyclic genetic algorithm

Breeding swarms: a GA/PSO hybrid

Factors governing the behavior of multiple cooperating swarms

An artificial immune network for multimodal function optimization on dynamic environments

Performance assessment of an artificial immune system multiobjective optimizer by two improved metrics

An efficient genetic algorithm for predicting protein tertiary structures in the 2D HP model

Evolving an improved axial structure for fibrillar collagen

Co-evolving recurrent neurons learn deep memory POMDPs

Shape nesting by coevolving species

On the analysis of the approximation capability of simple evolutionary algorithms for scheduling problems

A hybrid evolutionary algorithm for the p-median problem

Multiobjective hBOA, clustering, and scalability

Learning computer programs with the bayesian optimization algorithm

Minimum spanning trees made easier via multi-objective optimization

The effectiveness of multiobjective optimizer in single-objective optimization enviroment

Theoretical analysis of a mutation-based evolutionary algorithm for a tracking problem in the lattice

A mutation operator for evolution strategies to handle constrained problems

Evolving analog controllers for correcting thermoacoustic instability in real hardware

The enhanced evolutionary tabu search and its application to the quadratic assignment problem

Stress testing real-time systems with genetic algorithms

Generating feasible input sequences for extended finite state machines (EFSMs) using genetic algorithms

Advanced models of cellular genetic algorithms evaluated on SAT

Genetic programming for association rules on card sorting data

Finding needles in haystacks is harder with neutrality

Evaluating GP schema in context

XCS for robust automatic target recognition

Evolving computer intrusion scripts for vulnerability assessment and log analysis

New evolutionary techniques for test-program generation for complex microprocessor cores

A study of evolutionary robustness in stochastically tiled polyominos

Evolutionary models for maternal effects in simulated developmental systems

Exploring extended particle swarms: a genetic programming approach

Solving geometric TSP with ants

Discriminating and visualizing anomalies using negative selection and self-organizing maps

A co-evolutionary hybrid algorithm for multi-objective optimization of gene regulatory network models

GA-based approach to discover meaningful biclusters

Monotonic solution concepts in coevolution

Intrinsic emergence boosts adaptive capacity

Maximally rugged NK landscapes contain the highest peaks

Harmony search for structural design

Sub-structural niching in estimation of distribution algorithms

Multiobjective shape optimization with constraints based on estimation distribution algorithms and correlated information

A multi-objective genetic algorithm for robust design optimization

Rigorous runtime analysis of a (μ+1)ES for the sphere function

Using gene deletion and gene duplication in evolution strategies

Multiple-level concatenated coding in embryonics: a dependability analysis

Evolutionary rule-based system for IPO underpricing prediction

An empirical study of the robustness of two module clustering fitness functions

Benefits of software measures for evolutionary white-box testing

Unbiased tournament selection

An extension of vose's markov chain model for genetic algorithms

Open-ended robust design of analog filters using genetic programming

Probabilistic distribution models for EDA-based GP

Constructive induction and genetic algorithms for learning concepts with complex interaction

Learning basic navigation for personal satellite assistant using neuroevolution

Multi-objective optimization of diesel engine emissions and fuel economy using SPEA2+

Optimization with constraints using a cultured differential evolution approach

Improving particle swarm optimization with differentially perturbed velocity

Simulating swarm intelligence in honey bees: foraging in differently fluctuating environments

Sufficiency verification of HIV-1 pathogenesis based on multi-agent simulation

Discovering biological motifs with genetic programming

Primer design for multiplex PCR using a genetic algorithm

Understanding cooperative co-evolutionary dynamics via simple fitness landscapes

The blob code is competitive with edge-sets in genetic algorithms for the minimum routing cost spanning tree problem

Not all linear functions are equally difficult for the compact genetic algorithm

A comparative study of probability collectives based multi-agent systems and genetic algorithms

Fitness inheritance for noisy evolutionary multi-objective optimization

Local and global order 3/2 convergence of a surrogate evolutionary algorithm

Comparative evaluation of parallelization strategies for evolutionary and stochastic heuristics

A hardware pipeline for function optimization using genetic algorithms

Two improved differential evolution schemes for faster global search

Improving network applications security: a new heuristic to generate stress testing data

GA-based parameter tuning for multi-agent systems

Feature influence for evolutionary learning

Multi-niche crowding in the development of parallel genetic simulated annealing

Towards identifying populations that increase the likelihood of success in genetic programming

Backward-chaining genetic programming

A first order logic classifier system

Genetic algorithms for the sailor assignment problem

A case study of process facility optimization using discrete event simulation and genetic algorithm

Predicting population dynamics and evolutionary trajectories based on performance evaluations in alife simulations

Breeding swarms: a new approach to recurrent neural network training

A model based on ant colony system and rough set theory to feature selection

On the contribution of gene libraries to artificial immune systems

Using evolutionary computation methods to support analytical models for the evolution and maintenance of conditional strategies in chthamalus anisopoma

A multiple objective evolutionary algorithm for multiple sequence alignment

Intransitivity revisited coevolutionary dynamics of numbers games

Coordinating multi-rover systems: evaluation functions for dynamic and noisy environments

Learned mutation strategies in genetic programming for evolution and adaptation of simulated snakebot

Comparison of evolutionary multiobjective optimization with rference solution-based single-objective approach

Counteracting genetic drift and disruptive recombination in (μpluskommaλ)-EA on multimodal fitness landscapes

Optimal number of evolution strategies mutation step sizes in dynamic environments

Toward evolved flight

A low-level hybridization between memetic algorithm and VNS for the max-cut problem

Search-based improvement of subsystem decompositions

On the stationary distribution of GAs with fixed crossover probability

Diversity as a selection pressure in dynamic environments

Total synthesis of algorithmic chemistries

Preventing overfitting in GP with canary functions

Extending XCSF beyond linear approximation

Mission planning for joint suppression of enemy air defenses using a genetic algorithm

Collaborative interactive evolution

The predictive basis of situated and embodied artificial intelligence

Bayesian optimization models for particle swarms

A modified particle swarm optimization predicted by velocity

Is negative selection appropriate for anomaly detection?

A GA for maximum likelihood phylogenetic inference using neighbour-joining as a genotype to phenotype mapping

The impact of pseudorandom number quality on P-RnaPredict, a parallel genetic algorithm for RNA secondary structure prediction

Investigating the success of spatial coevolution

Transition models as an incremental approach for problem solving in evolutionary algorithms

On the convergence of an estimation of distribution algorithm based on linkage discovery and factorization

Evolving optimal feature extraction using multi-objective genetic programming: a methodology and preliminary study on edge detection

Efficient differential evolution using speciation for multimodal function optimization

Using evolutionary algorithms for the unit testing of object-oriented software

A theoretical analysis of the HIFF problem

Search space modulation in genetic algorithms: evolving the search space by sinusoidal transformations

Multipopulation cooperative coevolutionary programming (MCCP) to enhance design innovation

An investigation into using genetic programming as a means of inducing solutions to novice procedural programming problems

Kernel-based, ellipsoidal conditions in the real-valued XCS classifier system

Map-labelling with a multi-objective evolutionary algorithm

Event-driven learning classifier systems for online soccer games

Emergence of communication in competitive multi-agent systems: a pareto multi-objective approach

Dynamic-probabilistic particle swarms

Artificial immune system for solving generalized geometric problems: a preliminary results

A multi-objective evolutionary approach to peptide structure redesign and stabilization

'Managed challenge' alleviates disengagement in co-evolutionary system identification

Greedy, genetic, and greedy genetic algorithms for the quadratic knapsack problem

Real-coded crossover as a role of kernel density estimation

Minimizing total flowtime and maximum earliness on a single machine using multiple measures of fitness

A differential evolution based incremental training method for RBF networks

Search-based mutation testing for Simulink models

Crossover is provably essential for the Ising model on trees

Evolutionary change in developmental timing

Investigating the performance of module acquisition in cartesian genetic programming

A statistical learning theory approach of bloat

Analysis of the initialization stage of a Pittsburgh approach learning classifier system

Improving EA-based design space exploration by utilizing symbolic feasibility tests

A genetic algorithm approach to the selection of near-optimal subsets from large sets

The impact of cellular representation on finite state agents for prisoner's dilemma

Constrained optimization via particle evolutionary swarm optimization algorithm (PESO)

An evolutionary algorithm to generate hyper-ellipsoid detectors for negative selection

Particle swarm optimization for analysis of mass spectral serum profiles

On identifying global optima in cooperative coevolution

Towards a self-stopping evolutionary algorithm using coupling from the past

Population-based incremental learning with memory scheme for changing environments

A scalable parallel genetic algorithm for x-ray spectroscopic analysis

Simple addition of ranking method for constrained optimization in evolutionary algorithms

An approach for QoS-aware service composition based on genetic algorithms

Computing the epistasis variance of large-scale traveling salesman problems

Hybrid real-coded mutation for genetic algorithms applied to graph layouts

Evolution of a human-competitive quantum fourier transform algorithm using genetic programming

Scalability of genetic programming and probabilistic incremental program evolution

XCS with eligibility traces

Automated re-invention of six patented optical lens systems using genetic programming

Compact genetic algorithm for active interval scheduling in hierarchical sensor networks

Multiplex PCR primer design for gene family using genetic algorithm

Evolving agent swarms for clustering and sorting

Applying both positive and negative selection to supervised learning for anomaly detection

Inference of gene regulatory networks using s-system and differential evolution

Tracking extrema in dynamic environments using a coevolutionary agent-based model of genotype edition

Solving large scale combinatorial optimization using PMA-SLS

On the importance of diversity maintenance in estimation of distribution algorithms

An empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization

Morphing methods in evolutionary design optimization

On favoring positive correlations between form and quality of candidate solutions via the emergence of genomic self-similarity

Conformation of an ideal bucky ball molecule by genetic algorithm and geometric constraint from pair distance data: genetic algorithm

Meta-grammar constant creation with grammatical evolution by grammatical evolution

Evolving recurrent models using linear GP

XCS with computed prediction in multistep environments

Effective image compression using evolved wavelets

Symbolic regression in multicollinearity problems

Comparing multicast and newscast communication in evolving agent societies

Promising infeasibility and multiple offspring incorporated to differential evolution for constrained optimization

The application of antigenic search techniques to time series forecasting

MDGA: motif discovery using a genetic algorithm

An evolutionary lagrangian method for the 0/1 multiple knapsack problem

Using a Markov network model in a univariate EDA: an empirical cost-benefit analysis

Evolutionary strategies for multi-scale radial basis function kernels in support vector machines

Improving GA search reliability using maximal hyper-rectangle analysis

Inexact pattern matching using genetic algorithm

Resource-limited genetic programming: the dynamic approach

Evolutionary tree genetic programming

ATNoSFERES revisited

The molecule evoluator: an interactive evolutionary algorithm for designing drug molecules

GATS 1.0: a novel GA-based scheduling algorithm for task scheduling on heterogeneous processor nets

Bias and scalability in evolutionary development

Scale invariant pareto optimality: a meta--formalism for characterizing and modeling cooperativity in evolutionary systems

A comparative analysis of artificial immune network models

Extraction of informative genes from microarray data

Hyper-heuristics and classifier systems for solving 2D-regular cutting stock problems

Combining competent crossover and mutation operators: a probabilistic model building approach

A genetic algorithm encoding for a class of cardinality constraints

Directional self-learning of genetic algorithm

Parsing and translation of expressions by genetic programming

Parameter sweeps for exploring GP parameters

An abstraction agorithm for genetics-based reinforcement learning

Neuroevolution of an automobile crash warning system

Using evolutionary optimization to improve markov-based classification with limited training data

Evolutionary computation and the c-value paradox

Exposing origin-seeking bias in PSO

Epileptic seizure detection by means of genetically programmed artificial features

On the complexity of hierarchical problem solving

Fractional dynamic fitness functions for GA-based circuit design

The Push3 execution stack and the evolution of control

DXCS: an XCS system for distributed data mining

Incorporating fuzzy knowledge into fitness: multiobjective evolutionary 3D design of process plants

MOEA design of robust digital symbol sets

Automated assembly as situated development: using artificial ontogenies to evolve buildable 3-D objects

Ant colony optimization for power plant maintenance scheduling optimization

Measuring mobility and the performance of global search algorithms

Fitness-based neighbor selection for multimodal function optimization

CGP visits the Santa Fe trail: effects of heuristics on GP

Optimizing parameters of a mobile ad hoc network protocol with a genetic algorithm

Design of air pump system using bond graph and genetic programming method

Using a genetic algorithm to evolve behavior in multi dimensional cellular automata: emergence of behavior

An effective use of crowding distance in multiobjective particle swarm optimization

Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination

Adaptive sizing of populations and number of islands in distributed genetic algorithms

Genetic network programming with automatically defined groups for assigning proper roles to multiple agents

Determining equations for vegetation induced resistance using genetic programming

Production planning in manufacturing/remanufacturing environment using genetic algorithm

Evolving visually guided agents in an ambiguous virtual world

Automatic feature selection in neuroevolution

Adaptive crossover and mutation in genetic algorithms based on clustering technique

Probing for limits to building block mixing with a tunably-difficult problem for genetic programming

Parameterized versus generative representations in structural design: an empirical comparison

Introducing a watermarking with a multi-objective genetic algorithm

Autonomous navigation system applied to collective robotics with ant-inspired communication

EA models and population fixed-points versus mutation rates for functions of unitation

Dynamic optimization of migration topology in internet-based distributed genetic algorithms

Evolving cooperative strategies for UAV teams

A multi-objective algorithm for DS-CDMA code design based on the clonal selection principle

A new evolutionary method for time series forecasting

Agent-based modelling of product invention

Phase transition in a random NK landscape model

Normalization for neural network in genetic search

Measuring, enabling and comparing modularity, regularity and hierarchy in evolutionary design

Classification of human decision behavior: finding modular decision rules with genetic algorithms

Validation of evolutionary activity metrics for long-term evolutionary dynamics

Behavior of finite population variable length genetic algorithms under random selection

On the practical genetic algorithms

Evolving fuzzy decision tree structure that adapts in real-time

GAMM: genetic algorithms with meta-models for vision

Improvements to penalty-based evolutionary algorithms for the multi-dimensional knapsack problem using a gene-based adaptive mutation approach

Multiobjective VLSI cell placement using distributed genetic algorithm

Dormant program nodes and the efficiency of genetic programming

Genetic fuzzy discretization with adaptive intervals for classification problems

Statistical analysis of heuristics for evolving sorting networks

Knowledge insertion: an efficient approach to reduce effort in simple genetic algorithms for unrestricted parallel equal machines scheduling

Multi-chromosomal genetic programming

Hierarchical multi-sensor image registration using evolutionary computation

Fitness uniform deletion: a simple way to preserve diversity

Alternative implementations of the Griewangk function

Molecular programming: evolving genetic programs in a test tube

A comparison of evolutionary algorithms for system-level diagnosis

Designing resilient networks using a hybrid genetic algorithm approach

Analysis and mathematical justification of a fitness function used in an intrusion detection system

Stock prediction based on financial correlation

Information landscapes and the analysis of search algorithms

A comparison of messy GA and permutation based GA for job shop scheduling

Use of a genetic algorithm in brill's transformation-based part-of-speech tagger

The influence of migration sizes and intervals on island models

Goal-oriented preservation of essential genetic information by offspring selection

An "ageing" operator and its use in the highly constrained topological optimization of HVAC system design

Walsh transforms, balanced sum theorems and partition coefficients over multary alphabets

ARGEN + AREPO: mixing the artificial genetic engineering and artificial evolution of populations to improve the search process

Genetic algorithm optimization of superresolution parameters

Efficient credit assignment through evaluation function decomposition

A genetic algorithm for optimized reconstruction of quantized one-dimensional signals

Nonlinear feature extraction using a neuro genetic hybrid

Preservation of genetic redundancy in the existence of developmental error and fitness assignment error

Isolating the benefits of respect

Applying metaheuristic techniques to search the space of bidding strategies in combinatorial auctions

From supervised ranking to evolving behaviours of a robotic team

An artificial immune system algorithm for CDMA multiuser detection over multi-path channels

Takeover time curves in random and small-world structured populations

Optimization of passenger car design for the mitigation of pedestrian head injury using a genetic algorithm

Genetic algorithms using low-discrepancy sequences

An ant colony algorithm for multi-user detection in wireless communication systems

Latent variable crossover for k-tablet structures and its application to lens design problems

A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction in overhead feeders

Pricing the 'free lunch' of meta-evolution

Evolving petri nets to represent metabolic pathways

Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness

MRI magnet design: search space analysis, EDAs and a real-world problem with significant dependencies

Applying price's equation to survival selection

Predicting mining activity with parallel genetic algorithms

Evolving neural network ensembles for control problems

An efficient evolutionary algorithm applied to the design of two-dimensional IIR filters

Evolution of Voronoi based fuzzy recurrent controllers

An enhanced GA to improve the search process reliability in tuning of control systems

New topologies for genetic search space

Three dimensional evolutionary aerodynamic design optimization with CMA-ES

Schema disruption in tree-structured chromosomes

Evolutionary optimization of dynamic control problems accelerated by progressive step reduction

Some theoretical results about the computation time of evolutionary algorithms

Adaptive isolation model using data clustering for multimodal function optimization

Information landscapes and problem hardness

Towards an analysis of dynamic environments

Multi-level genetic algorithm (MLGA) for the construction of clock binary tree

Parallel genetic algorithms on line topology of heterogeneous computing resources

Quality-time analysis of multi-objective evolutionary algorithms

Terrain generation using genetic algorithms

Improving EAX with restricted 2-opt

Application of genetic algorithm to optimize burnable poison placement in pressurized water reactors

A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices

The problem with a self-adaptative mutation rate in some environments: a case study using the shaky ladder hyperplane-defined functions

Flight midcourse guidance control based on genetic algorithm

Subproblem optimization by gene correlation with singular value decomposition

Information landscapes

A genetic algorithm for unmanned aerial vehicle routing

Intelligent exploration for genetic algorithms: using self-organizing maps in evolutionary computation

An adaptive pursuit strategy for allocating operator probabilities

On the complexity of hierarchical problem solving

Content Provider	ACM Digital Library
Author	Watson, Richard A. de Jong, Edwin D. Thierens, Dirk
Abstract	Competent Genetic Algorithms can efficiently address problems in which the linkage between variables is limited to a small order k. Problems with higher order dependencies can only be addressed efficiently if further problem properties exist that can be exploited. An important class of problems for which this occurs is that of hierarchical problems. Hierarchical problems can contain dependencies between all variables (k=n) while being solvable in polynomial time.An open question so far is what precise properties a hierarchical problem must possess in order to be solvable efficiently. We study this question by investigating several features of hierarchical problems and determining their effect on computational complexity, both analytically and empirically. The analyses are based on the Hierarchical Genetic Algorithm (HGA), which is developed as part of this work. The HGA is tested on ranges of hierarchical problems, produced by a generator for hierarchical problems.
Starting Page	1201
Ending Page	1208
Page Count	8
File Format	PDF
ISBN	1595930108
DOI	10.1145/1068009.1068207
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2005-06-25
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Hierarchy Representation development Scalability Modularity
Content Type	Text
Resource Type	Article

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