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Journal ArticleDOI

A hybrid Firefly-Genetic Algorithm for the capacitated facility location problem

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TLDR
A new hybrid optimization method called Hybrid Evolutionary Firefly-Genetic Algorithm is proposed, inspired by social behavior of fireflies and the phenomenon of bioluminescent communication, which is devoted to the detailed description of the problem, and an adaption of the algorithm.
About
This article is published in Information Sciences.The article was published on 2014-11-01. It has received 107 citations till now. The article focuses on the topics: Firefly algorithm & Facility location problem.

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Citations
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Journal ArticleDOI

Bio inspired computing - A review of algorithms and scope of applications

TL;DR: This review identifies the popularly used algorithms within the domain of bio-inspired algorithms and discusses their principles, developments and scope of application, which would pave the path for future studies to choose algorithms based on fitment.
Journal ArticleDOI

Firefly algorithm with neighborhood attraction

TL;DR: A new FA variant called FA with neighborhood attraction (NaFA) is proposed, where each firefly is attracted by other brighter fireflies selected from a predefined neighborhood rather than those from the entire population.
Book ChapterDOI

Swarm Intelligence: A Review of Algorithms

TL;DR: The study attempts to provide an initial understanding for the exploration of the technical aspects of the algorithms and their future scope by the academia and practice and presents a detailed survey of eight SI algorithms.
Journal ArticleDOI

Heat transfer search (HTS)

TL;DR: A novel meta-heuristic optimization method based on the law of thermodynamics and heat transfer for solving constraint optimization problems and the results obtained are compared with some well-known metaheuristic search algorithms available in the literature.
Journal ArticleDOI

Location selection of city logistics centers under sustainability

TL;DR: A new evaluation system for the location selection of a CLC from a sustainability perspective using a fuzzy multi-attribute group decision making (FMAGDM) technique based on a linguistic 2-tuple to evaluate potential alternative CLC locations.
References
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Book

Nature-Inspired Metaheuristic Algorithms

Xin-She Yang
TL;DR: This book reviews and introduces the state-of-the-art nature-inspired metaheuristic algorithms in optimization, including genetic algorithms, bee algorithms, particle swarm optimization, simulated annealing, ant colony optimization, harmony search, and firefly algorithms.
Book ChapterDOI

Firefly algorithms for multimodal optimization

TL;DR: In this article, a new Firefly Algorithm (FA) was proposed for multimodal optimization applications. And the proposed FA was compared with other metaheuristic algorithms such as particle swarm optimization (PSO).
Book

Evolutionary Computation: Towards a New Philosophy of Machine Intelligence

TL;DR: In-depth and updated, Evolutionary Computation shows you how to use simulated evolution to achieve machine intelligence and carefully reviews the "no free lunch theorem" and discusses new theoretical findings that challenge some of the mathematical foundations of simulated evolution.
Journal ArticleDOI

Strategic facility location: A review

TL;DR: This review reports on literature which explicitly addresses the strategic nature of facility location problems by considering either stochastic or dynamic problem characteristics, with applications ranging across numerous industries.
Journal ArticleDOI

Location analysis: A synthesis and survey

TL;DR: The many facets of this exciting and centrally placed field of facility siting are reviewed through reference to both seminal works and current reviews.
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