Open AccessA NEW HYBRID ALGORITHM MPCM FOR SINGLE OBJECTIVE OPTIMIZATION PROBLEMS
Author(s) -
NGUYEN TRONG TIEN
Publication year - 2022
Publication title -
khoa học và công nghệ
Language(s) - English
Resource type - Journals
ISSN - 2525-2267
DOI - 10.46242/jstiuh.v52i05.4114
Subject(s) - benchmark (surveying) , operator (biology) , particle swarm optimization , mathematical optimization , code (set theory) , algorithm , computer science , local search (optimization) , mathematics , biochemistry , chemistry , geodesy , set (abstract data type) , repressor , transcription factor , gene , programming language , geography
One of the biggest challenges for researchers is finding optimal solutions or nearly optimal solutions for single-objective problems.
In this article, authors have proposed new algorithm called MPCM for resolving single-objective problems. This algorithm is combined of four algorithms: Mean-Search, PSOUpdate, CRO operator and new operator call Min-Max. The authors use some parameters to balance between the local search and global search. The results demonstrate that, with the participation of Min-Max Operator, MPCM gives the good results on 23 benchmark functions. The results of MPCM will compare with three famous algorithms such as Particle Swarm Optimization (PSO), Real Code Chemical Reaction Optimization (RCCRO) and Mean PSO-CRO (MPC) for demonstration the efficiency.