Vasant, P. (2013) Hybrid optimization techniques for industrial production planning: A review. IGI Global, pp. 41-68. ISBN 9781466644519; 1466644508; 9781466644502
Full text not available from this repository.Abstract
This chapter provides a review of new hybrid methods that deal with the continuous local and global optimization problems for constrained industrial production planning problems. In this chapter, details about all types of optimization methods and approaches for the local and global optimization are highlighted. Altogether there are eight famous methods in hybrid evolutionary optimization. In this research, the hybridization between evolutionary algorithms and other heuristic approaches such as simulated annealing, line search, pattern search, and mesh adaptive direct search are adopted. A particular evolutionary computation approach of genetic algorithm is used in this hybridization process. An intelligent performance analysis table is suggested in this chapter which is significantly important for decision makers and implementers in the industrial engineering of production planning. A brief summary on the conclusions of the main contributions and achievements in this chapter as well as future research directions are highlighted. © 2014 by IGI Global. All rights reserved.
Item Type: | Book |
---|---|
Additional Information: | cited By 3 |
Uncontrolled Keywords: | Constrained optimization; Evolutionary algorithms; Genetic algorithms; Global optimization; Heuristic algorithms; Heuristic methods; Planning; Production control; Simulated annealing, Future research directions; Global optimization problems; Hybrid evolutionary optimizations; Hybrid optimization; Hybridization process; Industrial production; Mesh adaptive direct search; Performance analysis, Optimization |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:51 |
Last Modified: | 09 Nov 2023 15:51 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/3501 |