Harris Eagle feeding strategy uses escape energy (E) and prey escape probability (r) to switch different foraging strategies. The four foraging strategies in the Harris Eagle algorithm have high exploitation performance, easy implementation, and low time complexity, which is the main reason for using it.
In this paper, a salp swarm algorithm based on Harris Eagle foraging strategy is proposed(ISSAHF). Harris hawk optimization algorithms of four types of ...
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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 ...
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 ...
In this paper, a salp swarm algorithm based on Harris Eagle foraging strategy is proposed(ISSAHF). Harris hawk optimization algorithms of four types of ...
This paper proposes a salp swarm algorithm based on Harris Eagle foraging strategy to address the issue of local optima in the operation of the algorithm.
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Therefore, a promising salp swarm algorithm called NCSSA is presented to solve this problem. In NCSSA, multi-perspective initialization strategy, Newton ...
In this paper, a salp swarm algorithm based on Harris Eagle foraging strategy is proposed(ISSAHF). Harris hawk optimization algorithms of four types of ...
Salp Swarm Algorithm (SSA) is a population-based metaheuristic algorithm inspired by the swarming behavior of salps when foraging and navigating in oceans. SSA ...