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The Swallow swarm algorithm is a new swarm optimization method which was introduced by Neshat et al [19]. Another research which shows efficiency of SSO is a combination of PSO with it [42]. 2.1. Swallow Swarm Optimization (SSO) The SSO algorithm inspired by the collective movement of swallo...
A new hybrid optimization algorithm for multiple mobile robots navigation based on the CS-ANFIS approach. Memetic Computing. 2015;7(4):255-273.Mohanty PK, Parhi DR. A new hybrid optimization algorithm for multiple mobile robots navigation based on the CS-ANFIS approach. Memetic Comput 2015;7(4...
A new hybrid algorithm for global optimization and slope stability evaluation
This paper proposes a new hybrid optimization algorithm for solving stochastic job shop scheduling problems, which integrates the idea of ordinal optimization into the frame- work of nested partitions(NP)algorithm.Ordinal comparison method is used to perform local search of NP and its exponen- tial ...
In this paper, a new optimization algorithm called hybrid leader-based optimization (HLBO) is introduced that is applicable in optimization challenges. The main idea of HLBO is to guide the algorithm population under the guidance of a hybrid leader. The stages of HLBO are modeled mathematically...
To overcome the disadvantages of premature convergence and easy trapping into local optimum solutions, this paper proposes an improved particle swarm optimization algorithm (named NDWPSO algorithm) based on multiple hybrid strategies. Firstly, the elite opposition-based learning method is utilized to init...
Yıldız AR, Yıldız BS, Sait SM, Bureerat S, Pholdee N (2019) A new hybrid harris hawks-nelder-mead optimization algorithm for solving design and manufacturing problems. Materials Testing 61(8):735–743 Article Google Scholar Zhang Y, Liu R, Wang X, Chen H, Li C (2020...
This paper proposes a robust adaptive hybrid optimization approach taking advance of two meta-heuristic algorithms to solve the non-convex economic dispatch (ED) problem in large-scale power grids. The demanded load is continuously increasing, leading to the operators to cope with new challenges asso...
Different algorithms can be used to manage these parameters like neural network, real-time optimization, particle swarm optimization, and predictive control [32]. The authors in Ref. [33] developed a new control strategy for a hybrid energy storage system, as a part of the off-grid HES in ...