Firstly, the algorithm initializes the population of salp, evaluates each fitness value, defines the leaders in the population, and the other individuals are followers. The Harris Eagle foraging strategy and the multi-point leader crossover strategy are used to updating the population.
Oct 22, 2024 · The salp swarm algorithm (SSA) will converge prematurely and fall into local optimum when solving complex high-dimensional multimodal ...
For the operation of the salp swarm algorithm(SSA), the leaders fall into local optimum, which leads to the population falling into local optimum problem.
Jan 1, 2023 · In this paper, a salp swarm algorithm based on Harris Eagle foraging strategy is proposed(ISSAHF). Harris hawk optimization algorithms of four ...
A hybrid Improved Salp Swarm Algorithm and Harris Hawk Optimizer for energy planning in microgrids with minimum operating cost · Research on the hybrid chaos- ...
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For the operation of the salp swarm algorithm(SSA), the leaders fall into local optimum, which leads to the population falling into local optimum problem.
A salp swarm algorithm based on Harris Eagle foraging strategy. X. Zhang, S. Wang, K. Zhao, and Y. Wang. Math. Comput. Simul., (2023 ).
This paper proposes a novel hybrid metaheuristic algorithm for optimal energy planning in microgrids using an Improved Salp Swarm Algorithm with Harris Hawk ...
In this paper, a salp swarm algorithm based on Harris Eagle foraging strategy is proposed(ISSAHF). Harris hawk optimization algorithms of four types of feeding ...
Jan 26, 2024 · The Salp Swarm Algorithm (SSA) is a bio-inspired metaheuristic optimization technique that mimics the collective behavior of Salp chains ...