NDLI: Opt4J: a modular framework for meta-heuristic optimization

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Beyond biology: designing a new mechanism for self-replication and evolution at the nanoscale

A performance study on synchronous and asynchronous updates in particle swarm optimization

An algorithm for distributed on-line, on-board evolutionary robotics

Analysing structure in complex networks using quality functions evolved by genetic programming

Learning n-tuple networks for othello by coevolutionary gradient search

A memetic algorithm for course timetabling

The essence of real-valued characteristic function for pairwise relation in linkage learning for EDAs

Maximizing population diversity in single-objective optimization

Noisy optimization: a theoretical strategy comparison of ES, EGS, SPSA & IF on the noisy sphere

On the log-normal self-adaptation of the mutation rate in binary search spaces

Fleet estimation for defence logistics using a multi-objective learning classifier system

A genetic programming based hyper-heuristic approach for combinatorial optimisation

Evolving complete robots with CPPN-NEAT: the utility of recurrent connections

ACO with tabu search on a GPU for solving QAPs using move-cost adjusted thread assignment

Large network analysis for fisheries management using coevolutionary genetic algorithms

Transition coverage testing for simulink/stateflow models using messy genetic algorithms

GA-FreeCell: evolving solvers for the game of FreeCell

Exact computation of the expectation curves of the bit-flip mutation using landscapes theory

Assembling living materials and engineering life-like technologies

Particle swarm optimisation with gradually increasing directed neighbourhoods

Morphological and environmental scaffolding synergize when evolving robot controllers: artificial life/robotics/evolvable hardware

Evolving random boolean networks with genetic algorithms for regulatory networks reconstruction

Evolving patch-based terrains for use in video games

Tabu search to solve the synchronized and integrated two-level lot sizing and scheduling problem

Parameter-less local optimizer with linkage identification for deterministic order-k decomposable problems

A many-objective test problem for visually examining diversity maintenance behavior in a decision space

When parameter tuning actually is parameter control

A parameter-less genetic algorithm with customized crossover and mutation operators

Interaction detection for hybrid decomposable problems

Geometric nelder-mead algorithm on the space of genetic programs

Constraining connectivity to encourage modularity in HyperNEAT

GPU-based asynchronous particle swarm optimization

A non-dominated neighbor immune algorithm for community detection in networks

Search-based software testing and test data generation for a dynamic programming language

Self-adaptive mutation in the differential evolution

Unbiased black box search algorithms

An investigation into the merger of stochastic diffusion search and particle swarm optimisation

Racing to improve on-line, on-board evolutionary robotics

The power of quantitative grammatical evolution neural networks to detect gene-gene interactions

Human-assisted neuroevolution through shaping, advice and examples

Metaheuristic for parallel machines scheduling with resource-assignable sequence dependent setup times

Dependence trees with copula selection for continuous estimation of distribution algorithms

Indicator-based differential evolution using exclusive hypervolume approximation and parallelization for multi-core processors

Exploratory landscape analysis

Adaptive evolutionary algorithm based on population dynamics for dynamic environments

Towards final rule set reduction in XCS: a fuzzy representation approach

Variance based selection to improve test set performance in genetic programming

SMCGP2: self modifying cartesian genetic programming in two dimensions

Collaborative multi-swarm PSO for task matching using graphics processing units

Evolutionary optimization of layouts for high density free space optical network links

Establishing integration test orders of classes with several coupling measures

Towards the development of self-ant systems

Too fast unbiased black-box algorithms

Detection of continuous, smooth and thin edges in noisy images using constrained particle swarm optimisation

Coupled inverted pendulums: a benchmark for evolving decentral controllers in modular robotics

Automated modeling of stochastic reactions with large measurement time-gaps

Evolving neural networks for geometric game-tree pruning

Heuristic techniques for variable and value ordering in CSPs

Regularized k-order markov models in EDAs

Adaptive multi-objective differential evolution with stochastic coding strategy

Niching foundations: basin identification on fixed-property generated landscapes

Idealized dynamic population sizing for uniformly scaled problems

Flexible learning of k-dependence Bayesian network classifiers

Genetic programming with a norm-referenced fitness function

Using feedback in a regulatory network computational device

Parallel divide-and-evolve: experiments with OpenMP on a multicore machine

Improving reputation systems for wireless sensor networks using genetic algorithms

A multi-objective evolutionary algorithm to obtain test cases with variable lengths

DAMS: distributed adaptive metaheuristic selection

An analysis on recombination in multi-objective evolutionary optimization

Selection strategies for initial positions and initial velocities in multi-optima particle swarms

The evolution of optimal foraging strategies in populations of digital organisms

Evolutionary-based iterative local search algorithm for the shortest common supersequence problem

Interactively evolving harmonies through functional scaffolding

Population-based and learning-based metaheuristic algorithms for the graph coloring problem

Use of infeasible individuals in probabilistic model building genetic network programming

Differential evolution for RFID antenna design: a comparison with ant colony optimisation

High dimensions and heavy tails for natural evolution strategies

A multiobjective genetic algorithm for automatic orthogonal graph drawing

PSO aided k-means clustering: introducing connectivity in k-means

Evolving ensembles in multi-objective genetic programming for classification with unbalanced data

On the correlations between developmental diversity and genomic composition

Effect of topology on diversity of spatially-structured evolutionary algorithms

An evolutionary approach to design dilation-erosion perceptrons for stock market indices forecasting

Multiobjective simulation optimisation in software project management

Generalized adaptive pursuit algorithm for genetic pareto local search algorithms

The effects of selection on noisy fitness optimization

Diversity preservation using excited particle swarm optimisation

Evolving a diversity of virtual creatures through novelty search and local competition

Conotoxin protein classification using pairwise comparison and amino acid composition: toxin-aam

Interactive evolution for the procedural generation of tracks in a high-end racing game

Genetic approaches for graph partitioning: a survey

A preliminary study on EDAs for permutation problems based on marginal-based models

Using pareto-optimality for solving multi-objective unequal area facility layout problem

Analysis of a repair mechanism for the (1,λ)-ES applied to a simple constrained problem

Stochastic algorithms assessment using performance profiles

Learning cost-efficient control policies with XCSF: generalization capabilities and further improvement

A gaussian groundplan projection area model for evolving probabilistic classifiers

Evolved neurogenesis and synaptogenesis for robotic control: the L-brain model

On the effectiveness of crossover for migration in parallel evolutionary algorithms

Enhanced rule extraction and classification mechanism of genetic network programming for stock trading signal generation

QoS-based service optimization using differential evolution

Policy learning in resource-constrained optimization

Domain specific analysis and modeling of optimal elimination of fitness functions with optimal sampling

A multi-objective particle swarm optimizer based on decomposition

Rapid host-parasite coevolution drives the production and maintenance of diversity in digital organisms

Affinity propagation enhanced by estimation of distribution algorithms

An executable graph representation for evolutionary generative music

A hybrid heuristic approach for solving the generalized traveling salesman problem

Optimal mixing evolutionary algorithms

Robust design of a re-entry unmanned space vehicle by multi-fidelity evolution control

Mirrored sampling in evolution strategies with weighted recombination

Locating seismic-sense stations through genetic algorithm: genetic algorithms

Modularization of xcsf for multiple output dimensions

Drawing boundaries: using individual evolved class boundaries for binary classification problems

A novel generative encoding for evolving modular, regular and scalable networks

Many-threaded implementation of differential evolution for the CUDA platform

Stock trading using linear genetic programming with multiple time frames

Evolving relationships between social networks and stakeholder involvement in software projects

The road to VEGAS: guiding the search over neutral networks

Fitness-levels for non-elitist populations

Hybrid particle swarm optimisation based on history information sharing

Modeling the evolutionary dynamics of plasmids in spatial populations

A novel probabilistic encoding for EAs applied to biclustering of microarray data

Multi-objective feature selection in music genre and style recognition tasks

The TransRAR crossover operator for genetic algorithms with set encoding

Advanced neighborhoods and problem difficulty measures

An evolutionary bi-objective approach to the capacitated facility location problem with cost and $CO_{2}$ emissions

Local-meta-model CMA-ES for partially separable functions

Adaptive and hybrid genetic approaches for estimating the camera motion from image point correspondences

Accuracy exponentiation in UCS and its effect on voting margins

Predicting problem difficulty for genetic programming applied to data classification

On the relationships between synaptic plasticity and generative systems

Using free cloud storage services for distributed evolutionary algorithms

Scaling up a hybrid genetic linear programming algorithm for statistical disclosure control

Searching for invariants using genetic programming and mutation testing

Adaptive iterated local search for cross-domain optimisation

Sharp bounds by probability-generating functions and variable drift

PSO based motion deblurring for single image

Evolution of neural symmetry and its coupled alignment to body plan morphology

A genetic algorithm to enhance transmembrane helices prediction

Originality and diversity in the artificial evolution of melodies

A hybrid evolutionary metaheuristics (HEMH) applied on 0/1 multiobjective knapsack problems

Hierarchical allelic pairwise independent functions

Investigating relevant aspects of MOEAs for protein structures prediction

Using the uncertainty handling CMA-ES for finding robust optima

On the deleterious effects of a priori objectives on evolution and representation

Semi-supervised genetic programming for classification

Examining the landscape of semantic similarity based mutation

Enhancing es-hyperneat to evolve more complex regular neural networks

Parallel island-based multiobjectivised memetic algorithms for a 2D packing problem

Hyperheuristic encoding scheme for multi-objective guillotine cutting problems

Using multi-objective metaheuristics to solve the software project scheduling problem

Tuned data mining: a benchmark study on different tuners

PAC learning and genetic programming

Bonding as a swarm: applying bee nest-site selection behaviour to protein docking

Digital enzymes: agents of reaction inside robotic controllers for the foraging problem

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Evolving policies for multi-reward partially observable markov decision processes (MR-POMDPs)

Adaptive coordinate descent

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Online, GA based mixture of experts: a probabilistic model of ucs

Mutation as a diversity enhancing mechanism in genetic programming

Coevolving collection plans for UAS constellations

Finding short counterexamples in promela models using estimation of distribution algorithms

Markov chain hyper-heuristic (MCHH): an online selective hyper-heuristic for multi-objective continuous problems

A honey bees mating optimization algorithm for the open vehicle routing problem

Spontaneous evolution of structural modularity in robot neural network controllers: artificial life/robotics/evolvable hardware

A cooperative tree-based hybrid GA-B&B approach for solving challenging permutation-based problems.

Interactive MOEA/D for multi-objective decision making

Mutation rates of the (1+1)-EA on pseudo-boolean functions of bounded epistasis

Evolving spiking networks with variable memristors

Semantically embedded genetic programming: automated design of abstract program representations

An efficient evolutionary algorithm for solving incrementally structured problems

Policy matrix evolution for generation of heuristics

Opposition-based artificial bee colony algorithm

How to promote generalisation in evolutionary robotics: the ProGAb approach

An efficient hierarchical parallel genetic algorithm for graph coloring problem

Solving interval multi-objective optimization problems using evolutionary algorithms with preference polyhedron

Black-box complexities of combinatorial problems

XCS cannot learn all boolean functions

A comparison of GE and TAGE in dynamic environments

A genetic algorithm for the freight consolidation problem with one-dimensional container loading

Automatic configuration of state-of-the-art multi-objective optimizers using the TP+PLS framework

Energy-efficient and location-aware ant colony based routing algorithms for wireless sensor networks

Why and how to measure exploration in behavioral space

Partial neighborhoods of the traveling salesman problem

Visualizing 4D approximation sets of multiobjective optimizers with prosections

How crossover helps in pseudo-boolean optimization

Modelling the initialisation stage of the ALKR representation for discrete domains and GABIL encoding

Reassembling operator equalisation: a secret revealed

Coastal current prediction using CMA evolution strategies

An incremental ant colony algorithm with local search for continuous optimization

Agent fitness functions for evolving coordinated sensor networks

P-GLS-II: an enhanced version of the population-based guided local search

Convergence of hypervolume-based archiving algorithms I: effectiveness

A surrogate-assisted linkage inference approach in genetic algorithms

Rethinking multilevel selection in genetic programming

Opt4J: a modular framework for meta-heuristic optimization

Parallel exploitation in estimated basins of attraction: a new derivative-free optimization algorithm

Harmony search with differential mutation based pitch adjustment

Improved S-CDAs using crossover controlling the number of crossed genes for many-objective optimization

Pairwise and problem-specific distance metrics in the linkage tree genetic algorithm

A non-destructive grammar modification approach to modularity in grammatical evolution

A combination of evolutionary algorithm and mathematical programming for the 3d thermal-aware floorplanning problem

An ant colony optimization algorithm to solve the minimum cost network flow problem with concave cost functions

Imitation tendencies of local search schemes in baldwinian evolution

Many-objective directed evolutionary line search

Analysis of epistasis correlation on NK landscapes with nearest-neighbor interactions

Tag-based modules in genetic programming

Optimizing ballast design of wave energy converters using evolutionary algorithms

Empirical computation of the quasi-optimal number of informants in particle swarm optimization

Predictive parameter control

Set-based multiobjective fitness landscapes: a preliminary study

An analysis of multi-chromosome GAs in deceptive problems

Evolving patches for software repair

A direct optimization approach to the P300 speller

Ant colony optimization for determining the optimal dimension and delays in phase space reconstruction

Population-ACO for the automotive deployment problem

Index-based genetic algorithm for continuous optimization problems

Morphological image enhancement procedure design by using genetic programming

Psychometric augmentation of an interactive genetic algorithm for optimizing cochlear implant programs

Car sequencing with constraint-based ACO

A RankMOEA to approximate the pareto front of a dynamic principal-agent model

Memory-based CHC algorithms for the dynamic traveling salesman problem

Co-evolving robocode tanks

Quantitative modeling of customer perception from service data using evolutionary optimization

Accumulative sampling for noisy evolutionary multi-objective optimization

ESDL: a simple description language for population-based evolutionary computation

Evolving a robust trader in a cyclic double auction market

RankDE: learning a ranking function for information retrieval using differential evolution

Comparison-based complexity of multiobjective optimization

Speciation in evolutionary algorithms: adaptive species discovery

Structural difficulty in estimation of distribution genetic programming

Evolutionary strategies for identification and validation of material model parameters for forming simulations

Integrated circuit optimization by means of evolutionary multi-objective optimization

Spacing memetic algorithms

The K landscapes: a tunably difficult benchmark for genetic programming

Application of evolutionary algorithms in detecting SMS spam at access layer

Learning individual mating preferences

Using evolutionary learning classifiers to do MobileSpam (SMS) filtering

A robust dynamic niching genetic clustering approach for image segmentation

GPU-accelerated high-accuracy molecular docking using guided differential evolution: real world applications

A new differential evolution algorithm with dynamic population partition and local restart

Using differential evolution to optimize 'learning from signals' and enhance network security

Multi-population differential evolution with adaptive parameter control for global optimization

Multi-objective optimization of dynamic memory managers using grammatical evolution

Differential evolution with self adaptive local search

Multiple objective optimisation applied to route planning

Approximating n-player behavioural strategy nash equilibria using coevolution

Spanning the pareto front of a counter radar detection problem

Smart use of computational resources based on contribution for cooperative co-evolutionary algorithms

Multi-objective design and analysis of robot gripper configurations using an evolutionary-classical approach

Iterated n-player games on small-world networks

A cooperative coevolutionary genetic algorithm for learning bayesian network structures

An EA-based approach to design optimization using evidence theory

Adaptive strategies applied to evolutionary search for 2D DCT cellular automata rules

A non-deterministic adaptive inertia weight in PSO

An algorithm for deciding minimal cache sizes in real-time systems

Polynomial selection scheme with dynamic parameter estimation in cellular genetic algorithm

Real-space evolutionary annealing

How hard should we run?

Opt4J: a modular framework for meta-heuristic optimization

Content Provider	ACM Digital Library
Author	Lukasiewycz, Martin Teich, Jürgen Glaß, Michael Reimann, Felix
Abstract	This paper presents a modular framework for meta-heuristic optimization of complex optimization tasks by decomposing them into subtasks that may be designed and developed separately. Since these subtasks are generally correlated, a separate optimization is prohibited and the framework has to be capable of optimizing the subtasks concurrently. For this purpose, a distinction of genetic representation (genotype) and representation of a solution of the optimization problem (phenotype) is imposed. A compositional genotype and appropriate operators enable the separate development and testing of the optimization of subtasks by a strict decoupling. The proposed concept is implemented as open source reference OPT4J [6]. The architecture of this implementation is outlined and design decisions are discussed that enable a maximal decoupling and flexibility. A case study of a complex real-world optimization problem from the automotive domain is introduced. This case study requires the concurrent optimization of several heterogeneous aspects. Exemplary, it is shown how the proposed framework allows to efficiently optimize this complex problem by decomposing it into subtasks that are optimized concurrently.
Starting Page	1723
Ending Page	1730
Page Count	8
File Format	PDF
ISBN	9781450305570
DOI	10.1145/2001576.2001808
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-07-12
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Modular Framework Optimization
Content Type	Text
Resource Type	Article

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