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On the Cooperation Between Evolutionary Algorithms and Constraint Handling Techniques: A Further Empirical Study

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Cooperation between Evolutionary Algorithms (EAs) and Constraint Handling Techniques (CHTs) plays an important role in Constrained Optimization Evolutionary Algorithms (COEAs). A constrained composite differential evolution (C2oDE) sets a good example… Click to show full abstract

Cooperation between Evolutionary Algorithms (EAs) and Constraint Handling Techniques (CHTs) plays an important role in Constrained Optimization Evolutionary Algorithms (COEAs). A constrained composite differential evolution (C2oDE) sets a good example on the cooperation. This paper tries to further study the inner mechanism, i.e., the effect of different methods on generating and selecting solutions. In the solution generating part, a new method, which adopts stochastic ranking in selecting the best individual in the DE mutation operators, is proposed. In the solution selecting part, a new constraint handling technique combination is added. The experiments on benchmark functions from IEEE CEC2006 verify the effect. During the experiment, it is found that a new cooperation manner performs better than C2oDE, which reflects the importance of cooperation.

Keywords: cooperation evolutionary; constraint handling; evolutionary algorithms; handling techniques; cooperation

Journal Title: IEEE Access
Year Published: 2020

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