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
Optimal chiller loading by genetic algorithm for reducing energy consumption
TL;DR: This study employs genetic algorithm (GA) to solve optimal chiller loading (OCL) problem by using the part load ratios (PLR) of chiller units to binary code chromosomes, and executing reproduction, crossover and mutation operation.
Journal ArticleDOI
A regularity model-based multiobjective estimation of distribution algorithm with reducing redundant cluster operator
Yong Wang,Jian Xiang,Zixing Cai +2 more
TL;DR: This paper improves the clustering process and proposes a reducing redundant cluster operator (RRCO) to build more precise model during the evolution of RM-MEDA, and presents an improved version of the algorithm, named IRM-medA, which outperforms RM- MEDA in terms of efficiency and effectiveness.
Journal ArticleDOI
Restoration of Bridge Networks after an Earthquake: Multicriteria Intervention Optimization
Paolo Bocchini,Dan M. Frangopol +1 more
TL;DR: In this paper, an optimization procedure for the restoration activities associated with the bridges of a transportation network severely damaged by an earthquake is presented, where the goal is to maximize the network resilience, minimize the time required to reach a target functionality level, and minimize the total cost of restoration activities.
Journal ArticleDOI
Survey of Intelligent Control Techniques for Humanoid Robots
Dusko Katic,Miomir Vukobratović +1 more
TL;DR: This paper represents an attempt to cover the basic principles and concepts of intelligent control in humanoid robotics, with an outline of a number of recent algorithms used in advanced control of humanoid robots.
Journal ArticleDOI
Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy, and Comparative Study
TL;DR: This paper has a double aim: to present a taxonomy of the genetics-based machine learning approaches for rule induction, and to develop an empirical analysis both for standard classification and for classification with imbalanced data sets.
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