An interactive fuzzy satisficing method for large scale multiobjective 0-1 programming problems with fuzzy parameters through genetic algorithms

Article Abstract:

The need to factor in the decision maker's understanding of a problem is addressed in a multi-objective 0-1 programming model through the decision maker's setting of the alpha-level sets of fuzzy numbers, from which a corresponding membership function is derived. These parameters are used in the generation of Pareto optimal solutions through a genetic algorith that solves for the optimal solution through a minimax problem with block angular solution model. This is done through decomposition procedures which specifies the minimax solutions.

Prepackaged software, Decision-making, Models, Decision making, Computer programming, Business management software, Design and construction, Simulation methods, Simulation, Information management software

---

Longest path analysis in networks of queues: dynamic scheduling problems

Article Abstract:

An acyclic network of queues is developed for addressing dynamic scheduling problems in operations management is presented.

Europe, Management dynamics, Production Management, Management, Scheduling (Management), Company business management, Stochastic processes

---

Genetic algorithms with double strings for 0-1 programming problems

Article Abstract:

Application of heuristics to formulate decoding algorithms with double strings for 0-1 programming problems is discussed.

Japan, Usage, Algorithms, Algorithm, Heuristic, Heuristics

Similar abstracts:

• Abstracts: On characterizing tighter formulations for 0-1 programs. Using tree search bounds to enhance a genetic algorithm approach to two rectangle packing problems
• Abstracts: Minimax mixed integer symmetric duality for multiobjective variational problems. Second order symmetric duality in multiobjective programming
• Abstracts: A distribution-free approach to estimating best response values with application to mutual fund performance modeling

This website is not affiliated with document authors or copyright owners. This page is provided for informational purposes only. Unintentional errors are possible.