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Evolutionary Computation
[chapter]
2014
Introduction to Computational Mathematics
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to scale up EAs with parallel processing. ...
This chapter addresses the integration of knowledge discovery in databases (KDD) and evolutionary algorithms (EAs), particularly genetic algorithms and genetic programming. ...
Introduction The evolutionary algorithms paradigm consists of stochastic search algorithms that are based on abstractions of the processes of Neo-Darwinian evolution. ...
doi:10.1142/9789814635790_0019
fatcat:2fb62ezrnfhn7phnh2uv66vhza
An Introduction to Evolutionary Computation in Finance
2008
IEEE Computational Intelligence Magazine
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In this article we provide an overview of some of these applications concentrating on those employing an evolutionary computation approach. ...
Recent years have seen an explosion in the application of Computational Intelligence methodologies in finance. ...
Introduction pplications of Computational Intelligence are expanding rapidly in the financial world. ...
doi:10.1109/mci.2008.929841
fatcat:3fhczjtgbvb4ronbwaw6o3sdwi
Introduction to Evolutionary Computation and Genetic Programming
[chapter]
2011
Natural Computing Series
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This gave rise to a form of evolutionary algorithm that they termed an evolutionary strategy [38, 40]. ...
Evolutionary computation is the study of non-deterministic search algorithms that are based on aspects of Darwin's theory of evolution by natural selection [10]. ...
The origins of GP (and evolutionary computation) go back to the origins of evolutionary algorithms [14] . ...
doi:10.1007/978-3-642-17310-3_1
fatcat:cvbvsuliwrgmro5ma2x5mim6na
An Introduction to Evolutionary Computation in Practice
[chapter]
2008
Studies in Computational Intelligence
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Deploying Evolutionary Computation (EC) solutions to real-world problems involves a wide spectrum of activities, ranging from framing the business problems and implementing the solutions to the final deployment ...
to secure funding for future research and can help to attract high caliber students. ...
Davis: An Introduction to Evolutionary Computation in Practice, Studies in Computational Intelligence (SCI) 88, 1-8 (2008) www.springerlink.com c Springer-Verlag Berlin Heidelberg 2008 a well-accepted ...
doi:10.1007/978-3-540-75771-9_1
fatcat:ek63zwua7vag3naflyplkrd274
An Introduction to Evolutionary Computation and Its Applications
[chapter]
1994
Fuzzy Logik
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Evolutionary Computation: What is it? • The use of evolutionary algorithms to solve difficult computational problems. ...
• Homeland Defense:
- Water supply networks
- Computer networks ...
Key Issues: • How to represent the space to be searched. • How to generate "interesting" new samples from existing ones. • How "greedy" should selection be. ...
doi:10.1007/978-3-642-79386-8_40
dblp:conf/fuzzy/Jong94
fatcat:iaqnaqxw5vfqtdustcjg6pmcia
Introduction to the Special Issue: Evolutionary Algorithms for Scheduling
1998
Evolutionary Computation
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of computation performed by a scheduling algorithm. ...
The required update time varies greatly between applications, as illustrated by the following sample update time scales: • milliseconds for scheduling computational tasks on one or more CPUs • minutes ...
of computation performed by a scheduling algorithm. ...
doi:10.1162/evco.1998.6.1.v
pmid:10021737
fatcat:dkverwunxnbephpponfeldna2y
Editorial Introduction to the Special Issue
2007
Evolutionary Computation
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We particularly would like to acknowledge the work and efforts of the following reviewers for this special issue: Patience Akpan-Obong (Arizona State University, USA); Ghada Alaa ( . ...
We also give a special acknowledgement to Sajda Qureshi, the editor-inchief of this journal, who gave encouragement, support and advice throughout the development of the special issue. ...
The importance of the introduction of ICT into education systems is linked to the pressure on societies and economies to respond dynamically to globalization. ...
doi:10.1162/evco.2007.15.4.iii
fatcat:esot7iwuu5aifdzt3xaitkv2lq
Introduction to the Applications of Evolutionary Computation in Computer Security and Cryptography
2004
Computational intelligence
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INTRODUCTION Techniques taken from the field of Artificial Intelligence, especially Evolutionary Computation (Genetic Algorithms and Genetic Programming, but also others) are steadily becoming more and ...
Another very fruitful research area, although not strictly based in the evolutionary computation paradigm, is the application of neural networks to cryptology, where the team was formed by Kinzel. ...
doi:10.1111/j.0824-7935.2004.00244.x
fatcat:hkindl3dorhljmykymtzdpqrze
Introduction to Evolutionary Multiobjective Optimization
[chapter]
2008
Lecture Notes in Computer Science
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softwares and numerous freely downloadable codes, a biannual conference series running successfully since 2001, special sessions and workshops held at all major evolutionary computing conferences, and ...
In this chapter, we provide a brief introduction to EMO principles, illustrate some EMO algorithms with simulated results, and outline the current research and application potential of EMO. ...
Introduction to Evolutionary Multiobjective Optimization
Introduction to Evolutionary Multiobjective Optimization
Introduction to Evolutionary Multiobjective Optimization
Introduction to ...
doi:10.1007/978-3-540-88908-3_3
fatcat:az5mzadspbgcpfhh4updlmacxy
An Introduction to Bioinformatics for Computer Scientists
[chapter]
2003
Evolutionary Computation in Bioinformatics
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A technique that has generated significant attention for its flexibility, ease of parallelization, and useful performance is evolutionary computation (EC) . ...
vary throughout evolutionary history. ...
doi:10.1016/b978-155860797-2/50003-2
fatcat:3n24r3dxk5gjxgqaaexvxi35ci
Learning and Evolution: An Introduction to Non-darwinian Evolutionary Computation
[chapter]
2000
Lecture Notes in Computer Science
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The field of evolutionary computation has drawn inspiration from Darwinian evolution in which species adapt to the environment through random variations and selection of the fittest. ...
This type of evolutionary computation has found wide applications, but suffers from low efficiency. ...
Low efficiency has been the major obstacle in applying Darwinian-type evolutionary computation to highly complex problems. ...
doi:10.1007/3-540-39963-1_3
fatcat:wwlrgpzx5zf2pbisrqafe77kfm
Gusz Eiben and Jim Smith (Eds): Introduction to evolutionary computing
2016
Genetic Programming and Evolvable Machines
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Eiben and Smith's second edition of Introduction to Evolutionary Computing is an excellent and readable text that should find a place on the bookshelf of anyone who researches and/or teaches in this domain ...
Note that this text focuses on evolutionary computation per se, and not the broader areas of computational intelligence found in many texts in this area. ...
I will be quite happy to use ''Introduction to Evolutionary Computing'' (Edition 2) for my own classes in the future. ...
doi:10.1007/s10710-016-9267-7
fatcat:loninithqzbhpouooelwqw3mgq
Evolutionary Puzzles: An Introduction to Genome Rearrangement
[chapter]
2001
Lecture Notes in Computer Science
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This paper is intended to serve as an introduction to genome rearrangement and its use for inferring phylogenetic trees. ...
We then consider the problem of inferring phylogenetic (evolutionary) trees from genetic data. We briefly present the two major approaches to solve this problem. ...
., G n , one can then compute the distance matrix D, with D ij = evolutionary distance between G i and G j . ...
doi:10.1007/3-540-45718-6_106
fatcat:4gmsmubsmfbitfryfdmrhmw42y
Introduction to Evolutionary Computing20041Introduction to Evolutionary Computing. Springer, 2003. 299 pp., ISBN: 3‐540‐40184‐9 £30.50 (hardcover)
2004
Assembly Automation
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To this group the book offers a thorough introduction to evolutionary computing (EC), including the basics of all traditional variants (evolution strategies, evolutionary programming, genetic algorithms ...
own specialist field of evolutionary computing. ...
To summarise this necessarily brief introduction, evolutionary computing is a branch of computer science dedicated to the study of a class of algorithms that are broadly based on the Darwinian principles ...
doi:10.1108/aa.2004.24.3.324.1
fatcat:3ry2ia24yvfpzkiuzrghd6at7q
Introduction to the special issue on evolutionary computer vision and image understanding
2006
Pattern Recognition Letters
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Acknowledgements The guest editors would like to thank the authors who submitted and contributed their work to this special issue, working under a tight schedule. ...
We thank the referees who have generously devoted their time to help ensure the highest possible quality for the papers in this volume. ...
The quality of advances will depend on the closeness of interaction between researchers in evolutionary computation and in computer vision. ...
doi:10.1016/j.patrec.2005.07.013
fatcat:dm4s7rmifraelm755rxsy4ysjm
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