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
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
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 ...
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...
In this paper, a novel metaheuristic algorithm called Chaos Game Optimization (CGO) is developed for solving optimization problems. The main concept of the
(1) The ventilator dataset was explored, analyzed, and added new features. (2) The ChoA algorithm optimized the parameters of the LSTM, and the ChoA -LSTM forecasting model was subsequently constructed. (3) ChoA algorithm's efficiency was compared with other metaheuristic optimization algorithms...
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Gradient-based optimizer: A new metaheuristic optimization algorithm and MOGBO: A new Multiobjective Gradient-Based Optimizer for real-world structural opt... To handle the multiobjective optimization problems of truss-bar design, this paper introduces a new metaheuristic multiobjective optimization algori...
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...
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...