Optimization is an art that is best performed by a well-tuned algorithm. Nature - instead of being fully deterministic - is evolutionary, vibrant and resourceful. The nature-inspired algorithms use the best com
Symbiotic organisms search: A new metaheuristic optimization algorithm Computers & Structures (2014) A.Cheraghalipouret al. Tree growth algorithm (tga): A novel approach for solving optimization problems Engineering Applications of Artificial Intelligence ...
So far, many evolutionary algorithms have been developed based on randomness of natural phenomena. These phenomena encompass various natural processes such as animal behavior (e.g., Donkey Theorem Optimization (DTO) [4], Honey Bees Mating (HBM) [5], Shuffled Frog Leaping Algorithm (SFLA) [6],...
In this paper, Energy Valley Optimizer (EVO) is proposed as a novel metaheuristic algorithm inspired by advanced physics principles regarding stability and different modes of particle decay. Twenty unconstrained mathematical test functions are utilized i
Yang X-S (2010) Firefly algorithm, stochastic test functions and design optimisation. Int J Bio-Inspired Comput 2(2):78–84 Article Google Scholar Yang X-S (2010) A new metaheuristic bat-inspired algorithm. In: Nature Inspired Cooperative Strategies for Optimization (NICSO 2010), pp 65–74...
Therefore, researchers have developed many metaheuristic algorithms and successfully applied them to the solution of optimization problems. Among them, Particle swarm optimization (PSO) algorithm6 is one of the most widely used swarm intelligence algorithms. However, the basic PSO has a simple operating...
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...
Imperialist competitive algorithm An algorithm for optimization inspired by imperialistic competition 热度: a r X i v : 1 0 0 4 . 4 1 7 0 v 1 [ m a t h . O C ] 2 3 A p r 2 0 1 0 ANewMetaheuristicBat-InspiredAlgorithm
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...
Several metaheuristic algorithms have been introduced to solve different optimization problems. Such algorithms are inspired by a wide range of natural phenomena or behaviors. We introduced a new metaheuristic algorithm called New Caledonian (NC) crow learning algorithm (NCCLA), inspired by efficient soc...