Publication | Open Access
Best-Worst-Play (BWP): A metaphor-less Optimization Algorithm
11
Citations
6
References
2020
Year
Mathematical ProgrammingArtificial IntelligenceJaya AlgorithmsGame AiEngineeringMachine LearningBwp AlgorithmGame TheoryIntelligent SystemsComputational Game TheoryOperations ResearchAlgorithm DesignSystems EngineeringCombinatorial OptimizationMechanism DesignMetaphor-less AlgorithmsIntelligent OptimizationComputer EngineeringComputer ScienceComputational ScienceMetaphor-less Optimization AlgorithmOptimization ProblemBusinessIterated Local SearchAlgorithmic Game Theory
Abstract A novel algorithm which is an ensemble of two metaphor-less algorithms is presented in this paper. The algorithm is inspired by Rao-1 and Jaya algorithms. Since the algorithm always plays around with the best and worst solutions; the algorithm is named as Best-Worst-Play (BWP) algorithm. The algorithm does not require any algorithm specific parameters, however, algorithm control parameters are required. To test the effectiveness and performance of the proposed algorithm, a number of unconstrained and constrained benchmark functions are considered. It is found that proposed algorithm has outperformed several well-established metaphor based algorithms. The proposed BWP algorithm may be used by researchers to solve the unconstrained and constrained optimization problems
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