An interactive dynamic approach based on hybrid swarm optimization for solving multiobjective programming problem with fuzzy parameters

DOI10.1016/j.apm.2013.10.013zbMath1427.65092OpenAlexW2074038433MaRDI QIDQ1630124

Y. Yousria Abo-Elnaga, A. A. Mousa, Mahmoud A. Abo-Sinna

Publication date: 7 December 2018

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2013.10.013

zbMATH Keywords

dynamic programmingmultiobjective programminggenetic algorithmswarm optimization

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)

Related Items

A new scalarization method for finding the efficient frontier in non-convex multi-objective problems, Some new solution concepts in generalized fuzzy multiobjective optimization problems

Uses Software

• IT-CEMOP

Cites Work

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• Integrated markdown pricing and aggregate production planning in a two echelon supply chain: a hybrid fuzzy multiple objective approach
• Stochastic finite-state systems in control theory
• Integrating particle swarm optimization with genetic algorithms for solving nonlinear optimization problems
• An interactive possibilistic programming approach for multiple objective supply chain master planning
• Linear programming with fuzzy parameters: an interactive method resolution
• IT-CEMOP: an iterative co-evolutionary algorithm for multiobjective optimization problem with nonlinear constraints
• An improved algorithm for the longest common subsequence problem
• Revisiting a game theoretic framework for the robust railway network design against intentional attacks
• Algorithmic aspects of mean-variance optimization in Markov decision processes
• Particle swarm and ant colony algorithms hybridized for improved continuous optimization
• Decomposition of multiple criteria mathematical programming problems by dynamic programming
• Decision-Making in a Fuzzy Environment