On GPU Implementation of the Island Model Genetic Algorithm for Solving the Unequal Area Facility Layout Problem

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A biased random-key genetic algorithm for the unequal area facility layout problem

This paper presents a biased random key genetic algorithm (BRKGA) for the unequal area facility layout problem (UA-FLP) where a set of rectangular facilities with given area requirements has to be placed, without overlapping, on a rectangular floor space. The objective is to find the location and the dimensions of the facilities such that the sum of the weighted distances between the centroids ...

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A hybrid genetic algorithm with decomposition phases for the Unequal Area Facility Layout Problem

We address the Unequal-Area Facility-Layout Problem (UA-FLP), which aims to dimension and locate rectangular facilities in an unlimited floor space, without overlap, while minimizing the sum of distances among facilities weighted by “material-handling” flows. We introduce two algorithmic approaches to address this problem: a basic Genetic Algorithm (GA), and a GA combined with a decomposition s...

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Unequal Area Facility Layout Using Genetic Search

This paper applies genetic optimization with an adaptive penalty function to the shapeconstrained unequal area facility layout problem. We implement a genetic search for unequal area facility layout, and show how optimal solutions are affected by constraints on permitted department shapes, as specified by a maximum allowable aspect ratio for each department. We show how an adaptive penalty func...

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1. Introduction to the Unequal Area Facility Layout Problem

This paper presents an extended formulation of the unequal area facilities block layout problem which explicitly considers uncertainty in material handling costs by use of expected value and standard deviations of product forecasts. This formulation is solved using a random keys genetic algorithm (RKGA) to circumvent the need for repair operators after crossover and mutation. Because this probl...

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ژورنال

عنوان ژورنال: Applied Sciences

سال: 2018

ISSN: 2076-3417

DOI: 10.3390/app8091604