Fuzzy goal programming- an additive model
Fuzzy Sets and Systems
Fuzzy nonlinear goal programming using genetic algorithm
Proceedings of the 21st international conference on Computers and industrial engineering
Two-sided assembly line balancing to maximize work relatedness and slackness
Computers and Industrial Engineering
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Fuzzy mathematical programming for multi objective linear fractional programming problem
Fuzzy Sets and Systems - Theme: Decision and optimization
Fuzzy mathematical programming applied to multi-level programming problems
Computers and Operations Research
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
A review and classification of fuzzy mathematical programs
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
A mathematical model and a genetic algorithm for two-sided assembly line balancing
Computers and Operations Research
Computers and Operations Research
2-ANTBAL: An ant colony optimisation algorithm for balancing two-sided assembly lines
Computers and Industrial Engineering
Balancing of mixed-model two-sided assembly lines
Computers and Industrial Engineering
The use of parametric programming in fuzzy linear programming
Fuzzy Sets and Systems
FUZZYSS’2009: 1st International Fuzzy Systems Symposium,1-2 October 2009, Ankara, Turkey
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - FUZZYSS’2009
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Many real life problems contain imprecise variables, constraints and objectives. Fuzzy set theory gives an opportunity to handle imprecise terms in such situations. Two-sided assembly line balancing (2sALB) problem which is a generalization of the well known simple assembly line balancing problem can also be modeled more realistically by employing fuzzy approaches. Such an approach is presented in this study to model and solve 2sALB problem by employing fuzzy mathematical programming and Bees Algorithm (BA). 2sALB problem is a combinatorial complex problem. For this reason BA is employed as a search mechanism for obtaining good solutions to it. BA is a relatively new member of swarm intelligence based meta-heuristics that tries to mimic natural behavior of real honey bees in food foraging in solving complex optimization problems. BA is generally applied to continuous optimization in the literature. Its application to combinatorial problems is rare. This study also presents one of the first application of BA to an assembly line balancing problem which is member of combinatorial optimization.