Optimal multiple-objective resource allocation using hybrid particle swarm optimization and adaptive resource bounds technique

Peng-Yeng Yin; Jingyu Wang

doi:10.1016/j.cam.2007.04.018

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Optimal multiple-objective resource allocation using hybrid particle swarm optimization and adaptive resource bounds technique

Peng-Yeng Yin Jingyu Wang

Year: 2007 Journal: Journal of Computational and Applied Mathematics Vol: 216 (1)Pages: 73-86 Publisher: Elsevier BV

DOI: 10.1016/j.cam.2007.04.018

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Keywords:

Mathematical optimization Expediting Particle swarm optimization Resource allocation Pareto principle Heuristic Computer science Multi-objective optimization Set (abstract data type) Mathematics Engineering

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Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Software Reliability and Analysis Research

Physical Sciences → Computer Science → Software

Optimization and Mathematical Programming

Physical Sciences → Engineering → Control and Systems Engineering

Optimal multiple-objective resource allocation using hybrid particle swarm optimization and adaptive resource bounds technique

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