Chimp Optimization Algorithm (ChoA) is a recently developed meta-heuristic approach which is inspired by the individual intelligence and sexual motivation of chimps. It is designed for trapping the local optima to alleviate the slow convergence speed. In this paper, a hybrid algorithm is developed ...
A novel meta-heuristic optimization algorithm: Thermal exchange optimization Advances in Engineering Software, Volume 110, 2017, pp. 69-84 A.Kaveh,A.Dadras Tunicate Swarm Algorithm: A new bio-inspired based metaheuristic paradigm for global optimization ...
A.H., Aquila Optimizer: A novel meta-heuristic optimization Algorithm, Computers & Industrial Engineering (2021), doi: https://doi.org/10.1016/j.cie.2021.107250 Code available at Researchgate: https://www.researchgate.net/publication/350411564_Matlab_Code_of_Aquila_Optimizer_A_novel_meta-heu...
SOO is a Nature-inspired meta-heuristic optimization algorithm that simulate the oscillatory phenomena observed in stars, particularly the sinusoidal and cosinusoidal patterns in stellar pulsations. This is the source codes of the paper: Stellar Oscillation Optimizer: A Nature-inspired metaheuris...
Dehghani, M., Samet, H. Momentum search algorithm: a new meta-heuristic optimization algorithm inspired by momentum conservation law.SN Appl. Sci.2, 1720 (2020). https://doi.org/10.1007/s42452-020-03511-6 Download citation Received10 February 2020 ...
AO的Matlab代码位于https://www.mathworks.com/matlabcentral/fileexchange/89381-aquila-optimizer-a-meta-heuristic-optimization-algorithm,而Java代码位于https://www.mathworks。 com / matlabcentral / fileexchange / 89386-aquila-optimizer-a-meta-heuristic-optimization-algorithm。
Dung beetle optimizer: a new meta-heuristic algorithm for global optimization. J Supercomput 79, 7305–7336 (2023). https://doi.org/10.1007/s11227-022-04959-6 Download citation Accepted16 November 2022 Published27 November 2022 Issue DateMay 2023 DOIhttps://doi.org/10.1007/s11227-022-04959-6...
Keywordsmeta--heuristic,simulatedannealing—geneticalgorithm,tabusearch 1引言 近年来,基于生物学,物理学和人工智能,发展 了一些具有全局优化性能且通用性强的meta— heuristic算法.困其高效的优化性能,无需问题特殊 信息等优点,受到各领域广泛的关注和应用.研究较 多的meta—heuristic算法有模拟退火(sA),遗传 算法(GA...
algorithm is a better solution. Therefore, this article focuses on the application of the MetaHeuristic algorithm to the two-dimensional nesting problem, and summarizes a variety of Meta-Heuristic algorithms in two-dimensional nesting optimization The current...
A more efficient optimization algorithm has always been the pursuit of researchers, but the performance of the current optimization algorithm in some complex test functions is not always satisfactory. In order to solve this problem, a new meta-heuristic optimization algorithm—Football Team Training Al...