<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In this paper, we propose a new population-based evolutionary algorithm that automatically configures the used search mechanism during its operation, which consists in choosing for each individual of the population a single evolutionary operator from the pool. The pool of operators comes from various evolutionary algorithms. With this idea, a flexible balance between exploration and exploitation of the problem domain can be achieved. The approach proposed in this paper might offer an inspirational alternative in creating evolutionary algorithms and their modifications. Moreover, different strategies for mutating those parts of individuals that encode the used search operators are also taken into account. The effectiveness of the proposed algorithm has been tested using typical benchmarks used to test evolutionary algorithms.</p></abstract>

In this paper, we propose a new population-based evolutionary algorithm that automatically configures the used search mechanism during its operation, which consists in choosing for each individual of the population a single evolutionary operator from the pool. The pool of operators comes from various evolutionary algorithms. With this idea, a flexible balance between exploration and exploitation of the problem domain can be achieved. The approach proposed in this paper might offer an inspirational alternative in creating evolutionary algorithms and their modifications. Moreover, different strategies for mutating those parts of individuals that encode the used search operators are also taken into account. The effectiveness of the proposed algorithm has been tested using typical benchmarks used to test evolutionary algorithms.

Evolutionary Algorithm with a Configurable Search Mechanism

Huazhong University of Science and Technology

Journal of Artificial Intelligence and Soft Computing Research

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Evolutionary Algorithm with a Configurable Search Mechanism"}

In this paper, we propose a new population-based evolutionary algorithm that automatically configures the used search mechanism during its operation, which...

Evolutionary Algorithm with a Configurable Search Mechanism

Online veröffentlicht: 23. Mai 2020

Seitenbereich: 151 - 171

Eingereicht: 05. Sept. 2019

Akzeptiert: 01. Apr. 2020

DOI: https://doi.org/10.2478/jaiscr-2020-0011

Schlüsselwörter
evolutionary algorithm, population-based algorithm, optimization, operator pool, operator selection, individual selection

© 2020 Krystian Łapa et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Evolutionary Algorithm with a Configurable Search Mechanism

Online veröffentlicht: 23. Mai 2020

Seitenbereich: 151 - 171

Eingereicht: 05. Sept. 2019

Akzeptiert: 01. Apr. 2020

DOI: https://doi.org/10.2478/jaiscr-2020-0011

Schlüsselwörterevolutionary algorithm, population-based algorithm, optimization, operator pool, operator selection, individual selection

© 2020 Krystian Łapa et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
evolutionary algorithm, population-based algorithm, optimization, operator pool, operator selection, individual selection