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- W3213366930 abstract "Due to the difficulty and complexity of optimization problems and the traditional methods cannot find the optimal global solutions after a few iterations, researchers have been proposed and improved a large number of algorithms to avoid the demerits of the classical methods. One of the newest meta-heuristic algorithms is Tunicate Swarm Algorithm (TSA) which shows how the tunicates reach the food source using two important techniques Swarm intelligence and jet propulsion. In this paper, we will modify the classical Tunicate Swarm Algorithm. We proved the high performance and good convergence of the proposed methodology by applying the new modification to 10 unconstrained benchmark functions compared with other algorithms from the literature review and one of the constrained problems (Economic dispatch Problem)." @default.
- W3213366930 created "2021-11-22" @default.
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- W3213366930 date "2021-11-09" @default.
- W3213366930 modified "2023-09-23" @default.
- W3213366930 title "Modified Tunicate Swarm Algorithm for Nonlinear Optimization Problems" @default.
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- W3213366930 doi "https://doi.org/10.1007/978-3-030-89701-7_32" @default.
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