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Variants of Evolutionary Algorithms for Real-World Applications [electronic resource] /

edited by Raymond Chiong, Thomas Weise, Zbigniew Michalewicz.

Book Cover
Names: Chiong, Raymond. | Weise, Thomas. | Michalewicz, Zbigniew.
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
Topics: Engineering. | Artificial intelligence. | Engineering. | Computational Intelligence. | Artificial Intelligence (incl. Robotics).
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245 10|aVariants of Evolutionary Algorithms for Real-World Applications|h[electronic resource] /|cedited by Raymond Chiong, Thomas Weise, Zbigniew Michalewicz.
264 1|aBerlin, Heidelberg :|bSpringer Berlin Heidelberg,|c2012.
300 |aXIV, 466 p.|bonline resource.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
347 |atext file|bPDF|2rda
505 0 |aSection I: Introduction -- Section II: Planning & Scheduling -- Section III: Engineering -- Section IV: Data Collection, Retrieval & Mining.
520 |aEvolutionary Algorithms (EAs) are population-based, stochastic search algorithms that mimic natural evolution. Due to their ability to find excellent solutions for conventionally hard and dynamic problems within acceptable time, EAs have attracted interest from many researchers and practitioners in recent years. This book “Variants of Evolutionary Algorithms for Real-World Applications” aims to promote the practitioner’s view on EAs by providing a comprehensive discussion of how EAs can be adapted to the requirements of various applications in the real-world domains. It comprises 14 chapters, including an introductory chapter re-visiting the fundamental question of what an EA is and other chapters addressing a range of real-world problems such as production process planning, inventory system and supply chain network optimisation, task-based jobs assignment, planning for CNC-based work piece construction, mechanical/ship design tasks that involve runtime-intense simulations, data mining for the prediction of soil properties, automated tissue classification for MRI images, and database query optimisation, among others. These chapters demonstrate how different types of problems can be successfully solved using variants of EAs and how the solution approaches are constructed, in a way that can be understood and reproduced with little prior knowledge on optimisation.
650 0|aEngineering.
650 0|aArtificial intelligence.
650 14|aEngineering.
650 24|aComputational Intelligence.
650 24|aArtificial Intelligence (incl. Robotics).
700 1 |aChiong, Raymond.|eeditor.
700 1 |aWeise, Thomas.|eeditor.
700 1 |aMichalewicz, Zbigniew.|eeditor.
710 2 |aSpringerLink (Online service)
773 0 |tSpringer eBooks
776 08|iPrinted edition:|z9783642234231
852 80|beitem|hSpringer|t1
856 40|uhttp://libweb.ben.edu/login?source=opac&url=http://dx.doi.org/10.1007/978-3-642-23424-8|yLink to Variants of Evolutionary Algorithms for Real-World Applications|z(access limited to Benedictine University patrons)
912 |aZDB-2-ENG
950 |aEngineering (Springer-11647)

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