Open AccessBook
Genetic Algorithms
About:
The article was published on 2002-01-01 and is currently open access. It has received 17039 citations till now.read more
Citations
More filters
Journal ArticleDOI
Buckling analysis and optimisation of variable angle tow composite plates
TL;DR: In this article, a new mathematical definition is proposed to represent the general variation of fibre-orientation in the VAT plate, the coefficients of polynomials are directly equal to the designed fibre angles at pre-selected control points.
Journal ArticleDOI
On the Optimal Robot Routing Problem in Wireless Sensor Networks
TL;DR: This paper presents a novel TSPn algorithm for this class of TSPN, which can yield significantly improved results compared to the latest approximation algorithm.
Genetic Algorithms: Theory and Applications
TL;DR: Revised version of lectures notes of the lecture " Genetic Algorithms: Theory and Applications " held at the Johannes Kepler University, Linz, during the winter term 1999/2000.
Journal ArticleDOI
Genetic diversity as an objective in multi-objective evolutionary algorithms
Andrea Toffolo,Ernesto Benini +1 more
TL;DR: A new diversity-preserving mechanism is presented, the Genetic Diversity Evaluation Method (GeDEM), which considers a distance-based measure of genetic diversity as a real objective in fitness assignment and provides a dual selection pressure towards the exploitation of current non-dominated solutions and the exploration of the search space.
Proceedings ArticleDOI
Personalized recommendation via cross-domain triadic factorization
TL;DR: This paper proposes a generalized Cross Domain Triadic Factorization (CDTF) model over the triadic relation user-item-domain, which can better capture the interactions between domain-specific user factors and item factors.
References
More filters
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