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Volume 28, Issue 2

Summer 2020

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ISSN 1063-6560

EISSN 1530-9304

In this Issue

Articles

Articles

Multioracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets

Marcel Wever, Lorijn van Rooijen, Heiko Hamann

Evolutionary Computation (2020) 28 (2): 165–193.

Abstract

View articletitled, Multioracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets

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Automatically Designing State-of-the-Art Multi- and Many-Objective Evolutionary Algorithms

Leonardo C. T. Bezerra, Manuel López-Ibáñez, Thomas Stützle

Evolutionary Computation (2020) 28 (2): 195–226.

Abstract

View articletitled, Automatically Designing State-of-the-Art Multi- and Many-Objective Evolutionary Algorithms

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What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-Based Evolutionary Multiobjective Optimisation

Miqing Li, Xin Yao

Evolutionary Computation (2020) 28 (2): 227–253.

Abstract

View articletitled, What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-Based Evolutionary Multiobjective Optimisation

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A New Generalized Partition Crossover for the Traveling Salesman Problem: Tunneling between Local Optima

Renato Tinós, Darrell Whitley, Gabriela Ochoa

Evolutionary Computation (2020) 28 (2): 255–288.

Abstract

View articletitled, A New Generalized Partition Crossover for the Traveling Salesman Problem: Tunneling between Local Optima

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A Predictive-Reactive Approach with Genetic Programming and Cooperative Coevolution for the Uncertain Capacitated Arc Routing Problem

Yuxin Liu, Yi Mei, Mengjie Zhang, Zili Zhang

Evolutionary Computation (2020) 28 (2): 289–316.

Abstract

View articletitled, A Predictive-Reactive Approach with Genetic Programming and Cooperative Coevolution for the Uncertain Capacitated Arc Routing Problem

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Learning and Searching Pseudo-Boolean Surrogate Functions from Small Samples

Kevin Swingler

Evolutionary Computation (2020) 28 (2): 317–338.

Abstract

View articletitled, Learning and Searching Pseudo-Boolean Surrogate Functions from Small Samples

Articles

Multioracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets

Automatically Designing State-of-the-Art Multi- and Many-Objective Evolutionary Algorithms

What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-Based Evolutionary Multiobjective Optimisation

A New Generalized Partition Crossover for the Traveling Salesman Problem: Tunneling between Local Optima

A Predictive-Reactive Approach with Genetic Programming and Cooperative Coevolution for the Uncertain Capacitated Arc Routing Problem

Learning and Searching Pseudo-Boolean Surrogate Functions from Small Samples

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Issues

Articles

Multioracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets

Automatically Designing State-of-the-Art Multi- and Many-Objective Evolutionary Algorithms

What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-Based Evolutionary Multiobjective Optimisation

A New Generalized Partition Crossover for the Traveling Salesman Problem: Tunneling between Local Optima

A Predictive-Reactive Approach with Genetic Programming and Cooperative Coevolution for the Uncertain Capacitated Arc Routing Problem

Learning and Searching Pseudo-Boolean Surrogate Functions from Small Samples

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