Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/3475
Title: A Novel Cultural Evolution-Based Nomadic Pastoralist Optimization Algorithm (NPOA): The Mathematical Models
Authors: Abdullahi, Ibrahim Mohammed
Mu'azu, Mohammed Bashir
Olaniyi, Olayemi Mikail
Agajo, James
Keywords: Nature Inspiration Optimization Algorithms
Pastoralist Optimization Algorithm (POA)
Metaheuristics
Cultural Algorithm
Nomadic Pastoralist Herding Strategy (NPHS)
Issue Date: 6-Jan-2020
Publisher: IEEE
Citation: I. M. Abdullahi, M. B. Mu’azu, O. M. Olaniyi and J. Agajo, "A Novel Cultural Evolution-Based Nomadic Pastoralist Optimization Algorithm (NPOA): The Mathematical Models," 2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf), 2019, pp. 1-7, doi: 10.1109/NigeriaComputConf45974.2019.8949635.
Series/Report no.: ;19278335
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.
Description: This paper presents the mathematical models of a novel nomadic pastoralist optimization algorithm
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/3475
Appears in Collections:Computer Engineering

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