A new hybrid algorithm of simulated annealing and simplex downhill for solving multiple-objective aggregate production planning on fuzzy environment

Aggregate production planning (APP) is a significant level that seeks efficient production systems. In actual condition, APP decisions, production inputs, and relevant planning parameters are intrinsically imprecise, which results in significant complexities in the generation of master production sc...

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Bibliographic Details
Published in:	Neural computing & applications Vol. 31; no. 6; pp. 1823 - 1834
Main Authors:	Zaidan, A. A., Atiya, Bayda, Abu Bakar, M. R., Zaidan, B. B.
Format:	Journal Article
Language:	English
Published:	London Springer London 01.06.2019 Springer Nature B.V
Subjects:	Algorithms Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Computer simulation Computing time Data Mining and Knowledge Discovery Fuzzy logic Fuzzy sets Genetic algorithms Image Processing and Computer Vision Linear programming Multiple objective analysis Operating costs Original Article Particle swarm optimization Probability and Statistics in Computer Science Production planning Production scheduling Schedules Simulated annealing Aggregate production planning Multiobjective linear programming Simplex downhill approach Simulated annealing
ISSN:	0941-0643, 1433-3058
Online Access:	Get full text
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