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Volume 22, Issue 2

Summer 2014

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ISSN 1063-6560

EISSN 1530-9304

In this Issue

ETEA: A Euclidean Minimum Spanning Tree-Based Evolutionary Algorithm for Multi-Objective Optimization

Miqing Li, Shengxiang Yang, Jinhua Zheng, Xiaohui Liu

Evolutionary Computation (2014) 22 (2): 189–230.

Abstract

View articletitled, ETEA: A Euclidean Minimum Spanning Tree-Based Evolutionary Algorithm for Multi-Objective Optimization

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MOEA/D with Adaptive Weight Adjustment

Yutao Qi, Xiaoliang Ma, Fang Liu, Licheng Jiao, Jianyong Sun ...

Evolutionary Computation (2014) 22 (2): 231–264.

Abstract

View articletitled, MOEA/D with Adaptive Weight Adjustment

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Genetic Programming and Serial Processing for Time Series Classification

Eva Alfaro-Cid, Ken Sharman, Anna I. Esparcia-Alcázar

Evolutionary Computation (2014) 22 (2): 265–285.

Abstract

View articletitled, Genetic Programming and Serial Processing for Time Series Classification

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A Simple Approach to Lifetime Learning in Genetic Programming-Based Symbolic Regression

Raja Muhammad Atif Azad, Conor Ryan

Evolutionary Computation (2014) 22 (2): 287–317.

Abstract

View articletitled, A Simple Approach to Lifetime Learning in Genetic Programming-Based Symbolic Regression

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Choosing the Appropriate Forecasting Model for Predictive Parameter Control

Aldeida Aleti, Irene Moser, Indika Meedeniya, Lars Grunske

Evolutionary Computation (2014) 22 (2): 319–349.

Abstract

View articletitled, Choosing the Appropriate Forecasting Model for Predictive Parameter Control

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A Note on Bound Constraints Handling for the IEEE CEC’05 Benchmark Function Suite

Tianjun Liao, Daniel Molina, Marco A. Montes de Oca, Thomas Stützle

Evolutionary Computation (2014) 22 (2): 351–359.

Abstract

View articletitled, A Note on Bound Constraints Handling for the IEEE CEC’05 Benchmark Function Suite

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ETEA: A Euclidean Minimum Spanning Tree-Based Evolutionary Algorithm for Multi-Objective Optimization

MOEA/D with Adaptive Weight Adjustment

Genetic Programming and Serial Processing for Time Series Classification

A Simple Approach to Lifetime Learning in Genetic Programming-Based Symbolic Regression

Choosing the Appropriate Forecasting Model for Predictive Parameter Control

A Note on Bound Constraints Handling for the IEEE CEC’05 Benchmark Function Suite

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Issues

ETEA: A Euclidean Minimum Spanning Tree-Based Evolutionary Algorithm for Multi-Objective Optimization

MOEA/D with Adaptive Weight Adjustment

Genetic Programming and Serial Processing for Time Series Classification

A Simple Approach to Lifetime Learning in Genetic Programming-Based Symbolic Regression

Choosing the Appropriate Forecasting Model for Predictive Parameter Control

A Note on Bound Constraints Handling for the IEEE CEC’05 Benchmark Function Suite

Product(s) added to cart

Email alerts

RSS Feeds

A product of The MIT Press

MIT Press Direct

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