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- W3202606543 startingPage "107555" @default.
- W3202606543 abstract "Jaya algorithm (JAYA) is a new metaheuristic algorithm, which has a very simple structure and only requires population size and terminal condition for optimization. Given the two features, JAYA has been widely used to solve various types of optimization problems. However, JAYA may easily get trapped in local optima for solving complex optimization problems due to its single learning strategy with little population information. To improve the global search ability of JAYA, this work proposes an enhanced Jaya algorithm (EJAYA) for global optimization. In EJAYA, the local exploitation is based on defined upper and lower local attractors and global exploration is guided by historical population. Like JAYA, EJAYA does notneed any effort for fine tuning initial parameters. To check the performance of the proposed EJAYA, EJAYA is first used to solve 45 test functions extracted from the well-known CEC 2014 and CEC 2015 test suites. Then EJAYA is employed to solve seven challenging real-world engineering design optimization problems. Experimental results support the strong ability of EJAYA to escape from the local optimum for solving complex optimization problems and the effectively of the introduced improved strategies to JAYA. Note that, the source codes of the proposed EJAYA are publicly available at https://ww2.mathworks.cn/matlabcentral/fileexchange/88877-enhanced-jaya-algorithm-for-global-optimization." @default.
- W3202606543 created "2021-10-11" @default.
- W3202606543 creator A5029347293 @default.
- W3202606543 creator A5060451316 @default.
- W3202606543 creator A5091500375 @default.
- W3202606543 date "2021-12-01" @default.
- W3202606543 modified "2023-10-14" @default.
- W3202606543 title "Enhanced Jaya algorithm: A simple but efficient optimization method for constrained engineering design problems" @default.
- W3202606543 cites W1075626806 @default.
- W3202606543 cites W1179686678 @default.
- W3202606543 cites W1416942850 @default.
- W3202606543 cites W1424196965 @default.
- W3202606543 cites W1970204203 @default.
- W3202606543 cites W1972279253 @default.
- W3202606543 cites W1972651187 @default.
- W3202606543 cites W1984203973 @default.
- W3202606543 cites W1985334587 @default.
- W3202606543 cites W1990966828 @default.
- W3202606543 cites W1999284878 @default.
- W3202606543 cites W2003273172 @default.
- W3202606543 cites W2003890325 @default.
- W3202606543 cites W2007351764 @default.
- W3202606543 cites W2012115555 @default.
- W3202606543 cites W2015808650 @default.
- W3202606543 cites W2017426530 @default.
- W3202606543 cites W2019813799 @default.
- W3202606543 cites W2023452756 @default.
- W3202606543 cites W2029846254 @default.
- W3202606543 cites W2034988449 @default.
- W3202606543 cites W2039577332 @default.
- W3202606543 cites W2061438946 @default.
- W3202606543 cites W2067959852 @default.
- W3202606543 cites W2071294004 @default.
- W3202606543 cites W2074194260 @default.
- W3202606543 cites W2091638274 @default.
- W3202606543 cites W2093689374 @default.
- W3202606543 cites W2096524645 @default.
- W3202606543 cites W2096673585 @default.
- W3202606543 cites W2102343719 @default.
- W3202606543 cites W2116314764 @default.
- W3202606543 cites W2119700045 @default.
- W3202606543 cites W2123682012 @default.
- W3202606543 cites W2131613989 @default.
- W3202606543 cites W2143055330 @default.
- W3202606543 cites W2147271386 @default.
- W3202606543 cites W2150382849 @default.
- W3202606543 cites W2221148967 @default.
- W3202606543 cites W2232317135 @default.
- W3202606543 cites W2290883490 @default.
- W3202606543 cites W2306115793 @default.
- W3202606543 cites W2346700178 @default.
- W3202606543 cites W2465078833 @default.
- W3202606543 cites W2529976425 @default.
- W3202606543 cites W2582324877 @default.
- W3202606543 cites W2738900493 @default.
- W3202606543 cites W2742250323 @default.
- W3202606543 cites W2751482852 @default.
- W3202606543 cites W2760544841 @default.
- W3202606543 cites W2760572903 @default.
- W3202606543 cites W2765933348 @default.
- W3202606543 cites W2770783293 @default.
- W3202606543 cites W2783918671 @default.
- W3202606543 cites W2790763152 @default.
- W3202606543 cites W2797485770 @default.
- W3202606543 cites W2797756395 @default.
- W3202606543 cites W2807821935 @default.
- W3202606543 cites W2830592823 @default.
- W3202606543 cites W2884495680 @default.
- W3202606543 cites W2884636259 @default.
- W3202606543 cites W2891331176 @default.
- W3202606543 cites W2899250423 @default.
- W3202606543 cites W2899404179 @default.
- W3202606543 cites W2901199996 @default.
- W3202606543 cites W2901565938 @default.
- W3202606543 cites W2911001524 @default.
- W3202606543 cites W2919979744 @default.
- W3202606543 cites W2922629870 @default.
- W3202606543 cites W2940098117 @default.
- W3202606543 cites W2943589076 @default.
- W3202606543 cites W2946329373 @default.
- W3202606543 cites W2950956319 @default.
- W3202606543 cites W2954391668 @default.
- W3202606543 cites W2958456210 @default.
- W3202606543 cites W2961307119 @default.
- W3202606543 cites W2962182762 @default.
- W3202606543 cites W2975809272 @default.
- W3202606543 cites W2976560662 @default.
- W3202606543 cites W2980497801 @default.
- W3202606543 cites W2980679190 @default.
- W3202606543 cites W2982453621 @default.
- W3202606543 cites W2983176600 @default.
- W3202606543 cites W2985845430 @default.
- W3202606543 cites W2991324256 @default.
- W3202606543 cites W2996849375 @default.
- W3202606543 cites W2996850699 @default.
- W3202606543 cites W3003212905 @default.
- W3202606543 cites W3003845456 @default.
- W3202606543 cites W3004853108 @default.