multi-objective problem solving
Solving multi objective linear Bilevel multi follower programming problem
... In sciences and industries such as signal optimization, traffic assignment, economic mar- ket and etc, many problems have been modeled by bilevel programming (BLP) problems, where in each level one must optimize some ...
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Solving Critical Path Problem in Project Network by a New Enhanced Multi-objective Optimization of Simple Ratio Analysis Approach with Interval Type-2 Fuzzy Sets
... means of fuzzy sets theory was presented by Liang and Han [24]. Chen and Hsueh [25] have introduced a simple fuzzy approach to determine critical path by using linear programing. Furthermore, a new method for project ...
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A new approach for solving fuzzy multi-objective quadratic programming of water resource allocation problem
... fuzzy multi-objective quadratic model with flexible constraints for optimal allocation of limited available water resources among different water-user ...allocation problem is one of the practical ...
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Solving a New Multi-objective Inventory-Routing Problem by a Non-dominated Sorting Genetic Algorithm
... inventory-routing problem (IRP) is derived from a vehicle routing problem (VRP), in which inventory control and routing decisions are ...the problem, an inclusive classification and review of ...
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Solving a new multi-objective resource constrained project scheduling problem by SAICA and compare it with DE method
... In this section, the solution quality and the computational time of the proposed SAICA is investigated through a comparative study. Therefore, a typical RCPSP example from Wu et al. [56] were used and it is shown by ...
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Solving Multi-Objective Structural Design Problem using Fuzzy Optimization Method: A Comparative Study
... Decision making is the process of identifying and choosing alternatives based on the values and preferences of the decision maker. Decision making is based solely on a single criterion appears insufficient as soon as the ...
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Dynamic Priority Rule Selection for Solving Multi objective Job Shop Scheduling Problems
... for solving the multi-objective job shop scheduling problem ...defined objective function consists of the weighted sum of 2 functions, which can be considered as a basic form of the ...
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Multi objective constrained algorithm (MCA) and non dominated sorting genetic algorithm (NSGA ii) for solving multi objective crop planning problem
... two multi-objective optimization techniques and interpret the solutions of multi-objective optimization model as linear crop planning ...two multi-objective optimization ...
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Duality in Solving Multi Objective Optimization (MOO) Problems
... ing multi-objective optimization ...for solving MOO problems. Du- ality can be used to formulate the multi-objective function ...in solving multi-objective ...
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Application of Multi-Objective Optimization by the Utopian Point Method to Determining the Technological Mode of Gac Oil Extraction - Volume 3 Number 1 (Feb. 2012) - IJCEA
... Solving multi-objective optimization problem by the utopian point method determined the optimal technological mode of Gac oil extraction, with the solvent volume of ...
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Fault detection and diagnosis of a plastic film extrusion process
... requires solving a multi-objective optimisation ...for solving this multi-objective optimisation prob- ...for solving this multi-objective opti- misation ...
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Fault detection and diagnosis of a plastic film extrusion process
... requires solving a multi-objective optimisation ...for solving this multi-objective optimisation prob- ...for solving this multi-objective opti- misation ...
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A new multi-mode and multi-product hub covering problem: A priority M/M/c queue approach
... location problem in airline net- works behaving as an M/D/c queue ...new multi-modal hub location network, in which different transporta- tion modes between hubs and different types of service time between ...
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Solving the Multi-Objective Flexible Job-Shop Scheduling Problem with Alternative Recipes for a Chemical Production Process
... customised multi-objective ...manufacturing problem originating from a steel tube production has been described by extending the classic FJSP and solved using a multi-objective GA with ...
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Solving a bi-objective mathematical programming model for bloodmobiles location routing problem Pages 19-32 Download PDF
... the problem, two models were ...crisp multi objective linear programming model by ME approach and then it was solved by TA ...routing problem with time windows. The problem was solved ...
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Solving a Bi-Objective Multi-Product Vehicle Routing Problem with Heterogeneous Fleets under an Uncertainty Condition
... As mentioned before, this paper aims at minimizing the cost of purchasing the vehicle, fuel consumption and shortage as the first objective function and minimizing the shortage of products (i.e., negative ...
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Modification Goal Programming for Solving Multi-Objective De Novo Programming Problems
... solve multi-objective problems, but not all of them provide truly optimal results because there are still deviations and inefficient use of resources so that they still produce ...in solving ...
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Solving a new bi-objective model for a cell formation problem considering labor allocation by multi-objective particle swarm optimization
... According to above mentioned description, only a few numbers of researchers have been developed multi-objective models to design a CMS considering human resource requirements. Slomp, et al. [26] developed ...
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Solving a discrete congested multi-objective location problem by hybrid simulated annealing with customer’s perspective
... the problem does not improve after a certain number of iterations, it is assumed converged and the improvement process ends ...The objective function: The objective functions can be easily coded ...
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Genetic Algorithm Performance with Different Selection Methods in Solving Multi Objective Network Design Problem
... Several researchers have studied the performance of GA using differing selection schemes. However, virtually no of these researchers tested the algorithm on network design problem. The performance of GA is usually ...
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