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Genetic Algorithms
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The article was published on 2002-01-01 and is currently open access. It has received 17039 citations till now.read more
Citations
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A hybrid multi-objective approach to capacitated facility location with flexible store allocation for green logistics modeling
TL;DR: In this paper, an evolutionary multi-objective optimization approach to the capacitated facility location-allocation problem (CFLP) for solving large instances that considers flexibility at the allocation level, where financial costs and CO2 emissions are considered simultaneously.
Journal ArticleDOI
Human ecological niches and ranges during the LGM in Europe derived from an application of eco-cultural niche modeling
William E. Banks,Francesco d'Errico,A. Townsend Peterson,Marian Vanhaeren,Masa Kageyama,Pierre Sepulchre,Gilles Ramstein,Anne Jost,Daniel J. Lunt +8 more
TL;DR: Eco-cultural niche modeling is applied to identify habitable portions of the European territory for Upper Paleolithic hunter-gatherers during the Last Glacial Maximum (LGM), circumscribe potential geographic extents of the Solutrean and Epigravettian technocomplexes, evaluate environmental and adaptive factors that influenced their distributions, and discuss this method's potential to illuminate past human-environment interaction.
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Optimal groundwater remediation design using an Adaptive Neural Network Genetic Algorithm
Shengquan Yan,Barbara S. Minsker +1 more
TL;DR: In this article, an adaptive neural network genetic algorithm (ANGA) was proposed to replace the time-consuming water resource simulation models for large-scale water resources optimization, which can save 85-90% of the simulation model calls with no loss in accuracy.
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A novel multi-objective programming model of relief distribution for sustainable disaster supply chain in large-scale natural disasters
TL;DR: Results demonstrate genetic algorithm here can achieve the trade-off between solution quality and computation time for relief distribution with the concern of sustainability, and indicates that the methodology provides the tools for decision-makers to optimize the structure of relief distribution network and inventory, as well as alleviate the suffering of victims.
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Optimizing the Jiles-Atherton model of hysteresis by a genetic algorithm
TL;DR: The paper proposes a modification to the Jiles-Atherton model to allow improved accuracy in the modeling of the major loop and introduces the concept of simultaneous optimization for major and minor hysteresis loops to ensure accurate model optimization over a wide variety of operating conditions.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Book
Genetic Algorithms + Data Structures = Evolution Programs
TL;DR: GAs and Evolution Programs for Various Discrete Problems, a Hierarchy of Evolution Programs and Heuristics, and Conclusions.
Journal ArticleDOI
An Introduction to Genetic Algorithms.
TL;DR: An Introduction to Genetic Algorithms as discussed by the authors is one of the rare examples of a book in which every single page is worth reading, and the author, Melanie Mitchell, manages to describe in depth many fascinating examples as well as important theoretical issues.
Book
Handbook of Genetic Algorithms
TL;DR: This book sets out to explain what genetic algorithms are and how they can be used to solve real-world problems, and introduces the fundamental genetic algorithm (GA), and shows how the basic technique may be applied to a very simple numerical optimisation problem.
Journal ArticleDOI
An Introduction to Population Genetics Theory
James F. Crow,Motoo Kimura +1 more
TL;DR: An introduction to population genetics theory, An introduction to Population Genetics Theory, Population Genetics theory, Population genetics theory as discussed by the authors, Population genetics, population genetics, and population genetics theories, Population Genetic Theory