NDLI: Improvements to the scalability of multiobjective clustering

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2015 IEEE Congress on Evolutionary Computation (CEC)

2014 IEEE Congress on Evolutionary Computation (CEC)

2013 IEEE Congress on Evolutionary Computation

2012 IEEE Congress on Evolutionary Computation

2011 IEEE Congress of Evolutionary Computation (CEC)

IEEE Congress on Evolutionary Computation

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2006 IEEE International Conference on Evolutionary Computation

2005 IEEE Congress on Evolutionary Computation

Volume 3 - 2003

The 2005 IEEE Congress on Evolutionary Computation

Review Committee

Table of contents

Hybrid evolutionary algorithms for constraint satisfaction problems: memetic overkill?

Hybrid evolutionary static scheduling for heterogeneous systems

Efficiently minimizing expensive cost functions with a hybrid evolutionary algorithm using clustering and a derivative-free optimizer: preliminary results

Cultural learning and diversity in a changing environment

Evolutionary strategies and genetic algorithms for dynamic parameter optimization of evolving fuzzy neural networks

Adaptive cluster covering and evolutionary approach: comparison, differences and similarities

Optimization of an evolutionary algorithm for a tactile communication system

An improvement of database with local search mechanisms for genetic algorithms in large-scale computing environments

A new estimation of distribution algorithm based on learning automata

A symbiosis algorithm for robotic control

Multiple bit encoding-based search algorithms

Evolving improved incremental learning schemes for neural network systems

A hybrid ant colony optimization approach (hACO) for constructing load-balanced clusters

A simple hybrid evolutionary algorithm for finding Golomb rulers

Recombinative EMCMC algorithms

XCS with computed prediction in continuous multistep environments

A memetic accuracy-based neural learning classifier system

Building anticipations in an accuracy-based learning classifier system by use of an artificial neural network

Toward an FPGA implementation of XCS

Revisiting genetic selection in the XCS learning classifier system

Learning classifier systems for user context learning

Maximizing winning trades using a rough set based other-product (RSPOP) fuzzy neural network intelligent stock trading system

Using Extended Classifier System to Forecast S&P Futures Based on Contrary Sentiment Indicators

Event-driven hybrid learning classifier systems for online soccer games

X-TCS: accuracy-based learning classifier system robotics

Evolving binary decision diagrams using implicit neutrality

Cost-sensitive classification with genetic programming

Rapid training of thermal agents with single parent genetic programming

Toward co-evolutionary training of a multi-class classifier

Efficient global optimization (EGO) for multi-objective problem and data mining

Robust optimum design of SAW filters with the Taguchi method and a memetic algorithm

Integrated qualitativeness in design by multi-objective optimization and interactive evolutionary computation

FPGA segmented channel routing using genetic algorithms

An iterative mutual information histogram technique for linkage learning in evolutionary algorithms

Complexity transitions in evolutionary algorithms: evaluating the impact of the initial population

An evolutionary fuzzy modeling approach for ANFIS architecture

Comparative study between the internal behavior of GA and PSO through problem-specific distance functions

Node-depth encoding for directed graphs

Applying genetic programming to learn spatial differences between textures using a translation invariant representation

Biologically inspired embodied evolution of survival

Limits of scalability of multiobjective estimation of distribution algorithms

Heuristics for optimizing the calculation of hypervolume for multi-objective optimization problems

Handling diversity in evolutionary multiobjective optimization

A hierarchical solve-and-merge framework for multi-objective optimization

A hybrid model of evolutionary algorithms and branch-and-bound for combinatorial optimization problems

Constraint quadratic approximation operator for treating equality constraints with genetic algorithms

An ant algorithm hyperheuristic for the project presentation scheduling problem

Capacitated vehicle routing: perturbing the landscape to fool an algorithm

The fitness map scheme: application to interactive multifractal image denoising

Parallel evolutionary algorithms on graphics processing unit

MRMOGA: parallel evolutionary multiobjective optimization using multiple resolutions

The estimation of evolvability genetic algorithm

Evolved transforms for image reconstruction

GENCEM: a genetic algorithms approach to coordinated exploration and mapping with multiple autonomous robots

A geologically-sound representation for evolutionary multi-objective subsurface identification

Data mining for multidisciplinary design space of regional-jet wing

On the analysis of self-adaptive recombination strategies: first results

Multiobjective optimization for dynamic environments

Exemplar-based direct policy search with evolutionary optimization

Evolution strategies based Gaussian sum particle filter for nonlinear state estimation

Improvements to the scalability of multiobjective clustering

Metaheuristics for clustering in KDD

The new window density function for efficient evolutionary unsupervised clustering

Dealing with noise in ant-based clustering

Correcting and improving imitation models of humans for Robosoccer agents

Evolution and prioritization of survival strategies for a simulated robot in Xpilot

Evolving autonomous agent control in the Xpilot environment

Finding attack strategies for predator swarms using genetic algorithms

GenSo-OPATS: a brain-inspired dynamically evolving option pricing model and arbitrage trading system

Explanation of binarized time series using genetic learning model of investor sentiment

On social learning and robust evolutionary algorithm design in economic games

What drives information dissemination in continuous double auction markets?

A reconfigurable continuous time recurrent neural network for evolvable hardware applications

Circuit recovery under gamma ray radiation

Techniques for the evolution of pipelined linear transforms

A space saving digital VLSI evolutionary engine for CTRNN-EH devices

Online population size adjusting using noise and substructural measurements

Using evolutionary techniques to hunt for snakes and coils

Balanced accuracy for feature subset selection with genetic algorithms

GA-facilitated KNN classifier optimization with varying similarity measures

An analysis of explicit loops in genetic programming

Fitness evaluation avoidance in Boolean GP problems

A structure preserving crossover in grammatical evolution

Information theoretic indicators of fitness, relevant diversity & pairing potential in genetic programming

Behaviour of UMDA/sub c/ with truncation selection on monotonous functions

Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems

A model-based evolutionary algorithm for bi-objective optimization

Incorporating a Metropolis method in a distribution estimation using Markov random field algorithm

Dynamic niching in evolution strategies with covariance matrix adaptation

Evolution strategies with adaptively rescaled mutation vectors

A new mutation operator for evolution strategies for constrained problems

The application of evolutionary computation to the analysis of the profiles of elliptical galaxies: a maximum likelihood approach

Techniques for analysis of evolved prisoner's dilemma strategies with fingerprints

Evolutionary Solo Pong players

Evolution and incremental learning in the iterative prisoner's dilemma

Evolution of cooperative behavior in the iterated prisoner's dilemma under random pairing in game playing

Analysis of Ausubel auctions by means of evolutionary computation

Brain-inspired genetic complementary learning for stock market prediction

Equilibrium selection by co-evolution for bargaining problems under incomplete information about time preferences

Predicting the impact of anticipatory action on US stock market - an event study using ANFIS (a neural fuzzy model)

Using ant colony optimization to find low energy atomic cluster structures

Constraint handling and stochastic ranking in ACO

Co-evolutionary modular neural networks for automatic problem decomposition

Distributed brain modelling by means of hierarchical collaborative coevolution

A self-adaptive mate selection model for genetic programming

Evolutionary computation variants for cooperative spatial coordination

Evolutionary multiobjective optimization with a segment based external memory support for the multiobjective quadratic assignment problem

Effects of experience bias when seeding with prior results

A scatter search based optimizer for the registration of 3D surfaces

A particle swarm optimiser with passive congregation approach to thermal modelling for power transformers

An efficient memetic, permutation-based evolutionary algorithm for real-world train timetabling

Evolution of L-systems for compact virtual landscape generation

An analysis of the search performance of a mini-population evolutionary algorithm for a robot-locomotion control problem

Nonlinear projection for the display of high dimensional distance data

No free lunch, Kolmogorov complexity and the information landscape

Multidimensional epistasis and the advantage of sex

Relationships between internal and external metrics in co-evolution

DynDE: a differential evolution for dynamic optimization problems

Genetic algorithms with self-organized criticality for dynamic optimization problems

A study of dynamic severity in chaotic fitness landscapes

A study on polynomial regression and Gaussian process global surrogate model in hierarchical surrogate-assisted evolutionary algorithm

Heterogeneous multiprocessor scheduling with differential evolution

Evolving dispatching rules for solving the flexible job-shop problem

An empirical analysis of the grouping genetic algorithm: the timetabling case

An ACO algorithm for service restoration in power distribution systems

Volume 2 - 2003

Volume 1 - 2003

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)

The 2003 Congress on Evolutionary Computation, 2003. CEC '03.

Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)

Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546)

Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512)

Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406)

Improvements to the scalability of multiobjective clustering

Content Provider	IEEE Xplore Digital Library
Author	Handl, J. Knowles, J.
Copyright Year	2003
Description	Author affiliation: Manchester Univ., UK (Handl, J.; Knowles, J.)
Abstract	In previous work, the authors have introduced a novel and highly effective approach to data clustering, based on the explicit optimization of a partitioning with respect to two complementary clustering objectives (Handl, et. al., 2004, 2005). In this paper, three modifications were made to the algorithm that improved its scalability to large data sets with high dimensionality and large numbers of clusters. Specifically, new initialization and mutation schemes that enable a more efficient exploration of the search space were introduced, and the null data model that is used as a basis for selecting the most significant solution from the Pareto front was modified. The high performance of the resulting algorithm is demonstrated on a newly developed clustering test suite.
Starting Page	2372
Ending Page	2379
File Size	2225138
Page Count	8
File Format	PDF
ISBN	0780393635
DOI	10.1109/CEC.2005.1554990
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-02
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Scalability Clustering algorithms Genetic mutations Evolutionary computation Knee Partitioning algorithms Data models Testing Encoding Decoding
Content Type	Text
Resource Type	Article

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