L-SHADE with Competing Strategies Applied to CEC2015 Learning-based Test Suite

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F16%3AA1701GK8" target="_blank" >RIV/61988987:17610/16:A1701GK8 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
L-SHADE with Competing Strategies Applied to CEC2015 Learning-based Test Suite
Original language description
Successful adaptive variant of differential evolution, the Success-history based parameter adaptation of Differential Evolution using linear population size reduction algorithm (L-SHADE), was improved. Adaptive mechanisms used in the algorithm were joined with adaptive mechanism proposed for competitive differential evolution algorithm. Four strategies, including the original one and strategies with exponential crossover, compete in the new LSHADE44 algorithm.The proposed algorithm is applied to the benchmark set defined for Learning-based case of Special Session and Competitions on Real-Parameter Single Objective Optimization on CEC2016. According to preliminary experiments, the proposed algorithm with competing strategies outperformed the original L-SHADE in the most of the test problems.
Czech name
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Czech description
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Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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