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-Reference-Cited by-同舟云学术

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

Published:2017-07-11 Issue:8 Volume:204 Page:840-851
ISSN:0098-6445
Container-title:Chemical Engineering Communications
language:en
Short-container-title:Chemical Engineering Communications

Author:

Chanthasuwannasin Manatsanan¹,Kottititum Bundit¹,Srinophakun Thongchai¹²

Affiliation:

1. Department of Chemical Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand

2. Department of Chemical Engineering, Faculty of Engineering, National Center of Excellence for Petroleum, Petrochemicals and Advanced Materials and Center for Advanced Studies in Industrial Technology, Kasetsart University, Bangkok, Thailand

Funder

This study was supported by the Department of Chemical Engineering, the Faculty of Engineering, and the Graduate School, Kasetsart University (scholarship for Manatsanan Chanthasuwannasin).

Publisher

Informa UK Limited

Subject

General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/00986445.2017.1294583

Reference38 articles.

1. Ahmad, S., and Petela, E. (1987). Supertarget Applications software for oil refinery retrofit. AIChE. Annual Meeting, Houston, Texas, 21–23.

2. Hypertargets: a Conceptual Programming approach for the optimisation of industrial heat exchanger networks — II. Retrofit design

3. A simulated annealing approach to the solution of minlp problems

4. Evolutionary algorithms approach to the solution of mixed integer non-linear programming problems

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Process optimization using a dynamic self-adaptive constraint handling technique coupled to a Differential Evolution algorithm;Chemical Engineering Research and Design;2023-01

2. A Study on Optimal Location Selection and Semi-Finished Product Inventory Allocation in the Steel Industry;Sustainability;2022-11-17

3. Energy Scheduling Framework of Micro-Grids Considering Battery Lifetime;IEEE Access;2022

4. A hybrid algorithm for mixed integer nonlinear programming in residential energy management;Journal of Cleaner Production;2019-07

5. Evolutionary method for combined ballistic launchers structural and parametric optimization;AIP Conference Proceedings;2019