A parametric approach to fuzzy linear programming
Fuzzy Sets and Systems
Fuzzy set theoretic interpretation of economic order quantity
IEEE Transactions on Systems, Man and Cybernetics
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Computers and Operations Research
A nonsymmetric model for fuzzy nonlinear programming problems with penalty coefficients
Computers and Operations Research
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms and Simulated Annealing
Genetic Algorithms and Simulated Annealing
Fuzzy Mathematical Programming: Methods and Applications
Fuzzy Mathematical Programming: Methods and Applications
Proceedings of the 5th International Conference on Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
Multi-objectives fuzzy models for desingning 3D trajectory in horizontal wells
The Korean Journal of Computational & Applied Mathematics
Warehouse sizing and inventory scheduling for multiple stock-keeping products
International Journal of Systems Science
Design of hierarchical fuzzy model for classification problem using GAs
Computers and Industrial Engineering
Short Communication: Fuzzy multiobjective optimization of truss-structures using genetic algorithm
Advances in Engineering Software
Information Sciences: an International Journal
Fuzzy EPQ models for an imperfect production system
International Journal of Systems Science
Fuzzy economic order time models with random demand
International Journal of Approximate Reasoning
Design of hierarchical fuzzy model for classification problem using GAs
Computers and Industrial Engineering
Review article: A review of soft computing applications in supply chain management
Applied Soft Computing
An inventory model with backorders with fuzzy parameters and decision variables
International Journal of Approximate Reasoning
Computers and Industrial Engineering
Multi-item fuzzy inventory model with three constraints: genetic algorithm approach
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Genetic algorithm for inventory lot-sizing with supplier selection under fuzzy demand and costs
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
Computers and Industrial Engineering
Supply chain outsourcing risk using an integrated stochastic-fuzzy optimization approach
Information Sciences: an International Journal
A stochastic decision support system for economic order quantity problem
Advances in Fuzzy Systems
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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A soft computing approach is proposed to solve non-linear programming problems under fuzzy objective goal and resources with/without fuzzy parameters in the objective function. It uses genetic algorithms (GAs) with mutation and whole arithmetic crossover. Here, mutation is carried out along the weighted gradient direction using the random step lengths based on Erlang and Chi-square distributions. These methodologies have been applied to solve multi-item fuzzy EOQ models under fuzzy objective goal of cost minimization and imprecise constraints on warehouse space and number of production runs with crisp/imprecise inventory costs. The fuzzy inventory models have been formulated as fuzzy non-linear decision making problems and solved by both GAs and fuzzy non-linear programming (FNLP) method based on Zimmermann's approach. The models are illustrated numerically and the results from different methods are compared.