A Novel Cultural Evolution-Based Nomadic Pastoralist Optimization Algorithm (NPOA): The Mathematical Models

Ibrahim M. Abdullahi, M. B. Mu'azu, O. Olaniyi, J. Agajo
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引用次数: 1

Abstract

In this paper, the mathematical models for a proposed novel modified Pastoralist Optimization Algorithm (POA) called the Nomadic Pastoralist Optimization Algorithm (NPOA) inspired by the nomadic pastoralists herding strategies and cultural evolution strategy is presented. The nomadic pastoralist herding strategies which are scouting, camping, herding, splitting and merging were mathematically modeled. The mathematical models will be used to develop the proposed algorithm. The algorithm when developed will be tested on several benchmark functions to ascertain the algorithms exploration and exploitative ability. The performance will also be validated by comparing with POA and other popular and similar metaheuristic algorithms such as GOA, PSO, ABC, BBO and ICA
基于文化进化的游牧牧民优化算法(NPOA):数学模型
本文基于游牧民的放牧策略和文化进化策略,提出了一种新的改进的游牧民优化算法(Nomadic Pastoralist Optimization Algorithm, NPOA)的数学模型。对游牧民的放牧策略进行了数学建模,包括侦察、露营、放牧、分裂和合并。数学模型将用于开发所提出的算法。算法开发后将在多个基准函数上进行测试,以确定算法的探索和开发能力。还将通过与POA和其他流行的类似的元启发式算法(如GOA, PSO, ABC, BBO和ICA)进行比较来验证性能
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