A Hybrid Coral Reefs Optimization—Variable Neighborhood Search Approach for the Unequal Area Facility Layout Problem
نویسندگان
چکیده
منابع مشابه
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...
متن کاملAdaptive variable neighborhood search for solving multi-objective facility layout problems with unequal area facilities
In this paper, we report the results of our investigation of an evolutionary approach for solving the unequal area multi-objective facility layout problem (FLP) using the variable neighborhood search (VNS) with an adaptive scheme that presents the final layouts as a set of Pareto-optimal solutions. The unequal area FLP comprises a class of extremely difficult and widely applicable optimization ...
متن کاملA 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...
متن کامل1. 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...
متن کاملA 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 ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.3010577