A Mixed Coding Scheme of a Particle Swarm Optimization and a Hybrid Genetic Algorithm with Sequential Quadratic Programming for Mixed Integer Nonlinear Programming in Common Chemical Engineering Practice

In this paper, mixed integer nonlinear programming (MINLP) is optimized by PSO_GA-SQP, the mixed coding of a particle swarm optimization (PSO), and a hybrid genetic algorithm and sequential quadratic programming (GA-SQP). The population is separated into two groups: discrete and continuous variables...

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Bibliographic Details
Published in:	Chemical engineering communications Vol. 204; no. 8; pp. 840 - 851
Main Authors:	Chanthasuwannasin, Manatsanan, Kottititum, Bundit, Srinophakun, Thongchai
Format:	Journal Article
Language:	English
Published:	Philadelphia Taylor & Francis 03.08.2017 Taylor & Francis Ltd
Subjects:	Chemical engineering Continuity (mathematics) Fitness Genetic algorithm Genetic algorithms Heat exchanger network Mixed integer Mixed integer nonlinear programming Mixed-coding Nonlinear programming Optimization Particle swarm Particle swarm optimization Quadratic programming Sequential quadratic programming Variables
ISSN:	0098-6445, 1563-5201
Online Access:	Get full text
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