Search results for "Multi Objective Genetic Algorithm"

showing 3 items of 3 documents

A multi objective genetic algorithm for the facility layout problem based upon slicing structure encoding

2012

This paper proposes a new multi objective genetic algorithm (MOGA) for solving unequal area facility layout problems (UA-FLPs). The genetic algorithm suggested is based upon the slicing structure where the relative locations of the facilities on the floor are represented by a location matrix encoded in two chromosomes. A block layout is constructed by partitioning the floor into a set of rectangular blocks using guillotine cuts satisfying the areas requirements of the departments. The procedure takes into account four objective functions (material handling costs, aspect ratio, closeness and distance requests) by means of a Pareto based evolutionary approach. The main advantage of the propos…

Structure (mathematical logic)Mathematical optimizationClosenessGeneral EngineeringPareto principleSlicingComputer Science ApplicationsSet (abstract data type)Artificial IntelligenceEncoding (memory)Genetic algorithmMulti Objective Genetic Algorithm Facility Layout ProblemSlicing StructureMathematicsBlock (data storage)Expert Systems with Applications
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A non dominated ranking Multi Objective Genetic Algorithm and electre method for unequal area facility layout problems

2013

The unequal area facility layout problem (UA-FLP) comprises a class of extremely difficult and widely applicable optimization problems arising in diverse areas and meeting the requirements for real-world applications. Genetic Algorithms (GAs) have recently proven their effectiveness in finding (sub) optimal solutions to many NP-hard problems such as UA-FLP. A main issue in such approach is related to the genetic encoding and to the evolutionary mechanism implemented, which must allow the efficient exploration of a wide solution space, preserving the feasibility of the solutions and ensuring the convergence towards the optimum. In addition, in realistic situations where several design issues…

Mathematical optimizationOptimization problemGeneral EngineeringSolution setPareto principleMulti Objective Genetic Algorithm electre method unequal area facility layout problemsComputer Science ApplicationsRankingArtificial IntelligenceGenetic algorithmConvergence (routing)ELECTRESelection (genetic algorithm)MathematicsExpert Systems with Applications
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Multi Objective Genetic Algorithm for multimode job shop scheduling problem

2014

Multimode Job Shop Scheduling Problem Multi Objective Genetic Algorithm.
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