http://www.bibsonomy.org/burst/concept/tag/ecBibSonomy BuRST Feed for /concept/tag/ec2008-12-02T01:18:15+01:00http://www.bibsonomy.org/bibtex/22c8ee772540d620bdd726a793cfc9d21/brazovayeyebrazovayeye2008-06-19T17:46:40+02:00agents, intelligent controlling control, neural design, classifiers, search, foundations, time medical hardware, search techniques, evolutionary processing systems control games information modelling, scheduling, ecological image optimization, modelling evolving like ec, and breast system biological cancer, fitness, record, coevolution, hybrid systems, devices robotic novel applications, dynamic series processing, cultural theory constraint signal tasks, engineering network ec revisiting programming, algorithms, parallel multi-objective developement markets, spaces, the evolvable game learning networks, research image/ new multi-agent paradigms, modeling/ stroganoff, genetic modeling representations, fossil handling, ecosystems, operations local themes, design <span style="color:#555555;"> </span><em>La Jolla Marriott Hotel La Jolla, California, USA, </em><em>IEEE Press, </em><em>6-9 July2000. </em>Thu Jun 19 17:46:40 CEST 2008La Jolla Marriott Hotel La Jolla, California, USAyoshihara6-9 JulyProceedings of the 2000 Congress on Evolutionary Computation {CEC00}2000agents, intelligent controlling control, neural design, classifiers, search, foundations, time medical hardware, search techniques, evolutionary processing systems control games information modelling, scheduling, ecological image optimization, modelling evolving like ec, and breast system biological cancer, fitness, record, coevolution, hybrid systems, devices robotic novel applications, dynamic series processing, cultural theory constraint signal tasks, engineering network ec revisiting programming, algorithms, parallel multi-objective developement markets, spaces, the evolvable game learning networks, research image/ new multi-agent paradigms, modeling/ stroganoff, genetic modeling representations, fossil handling, ecosystems, operations local themes, design http://www.bibsonomy.org/bibtex/291983e07fac731ef5a75dcd89b90dcc4/brazovayeyebrazovayeye2008-06-19T17:35:00+02:00agents, intelligent controlling control, neural design, classifiers, search, foundations, time medical hardware, search techniques, evolutionary processing systems control games information modelling, scheduling, ecological image optimization, modelling evolving like ec, and breast system biological cancer, fitness, record, coevolution, hybrid systems, devices robotic novel applications, dynamic series processing, cultural theory constraint signal tasks, engineering network ec revisiting programming, algorithms, parallel multi-objective developement markets, spaces, the evolvable game learning networks, research image/ new multi-agent paradigms, modeling/ stroganoff, genetic modeling representations, fossil handling, ecosystems, operations local themes, design <span style="color:#555555;"> </span><em>COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, </em><em>IEEE Press, </em><em>27-30 May2001. </em>Thu Jun 19 17:35:00 CEST 2008COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, KoreaJong-Wan Kim27-30 MayProceedings of the 2001 Congress on Evolutionary Computation {CEC2001}2001agents, intelligent controlling control, neural design, classifiers, search, foundations, time medical hardware, search techniques, evolutionary processing systems control games information modelling, scheduling, ecological image optimization, modelling evolving like ec, and breast system biological cancer, fitness, record, coevolution, hybrid systems, devices robotic novel applications, dynamic series processing, cultural theory constraint signal tasks, engineering network ec revisiting programming, algorithms, parallel multi-objective developement markets, spaces, the evolvable game learning networks, research image/ new multi-agent paradigms, modeling/ stroganoff, genetic modeling representations, fossil handling, ecosystems, operations local themes, design Journal of Banking & Financehttp://www.bibsonomy.org/bibtex/2cdfba84ad6a079038805e9c1e143ffd8/smichasmicha2008-04-22T13:53:19+02:00EC banking <span style="color:#555555;">Rudi Vander <a href="http://www.bibsonomy.org/author/Vennet">Vennet</a> </span><em>Journal of Banking \&amp; Finance</em><em>20(9):1531--1558</em><em>Nov1996. </em>Tue Apr 22 13:53:19 CEST 2008Journal of Banking \& FinanceNov91531--1558The effect of mergers and acquisitions on the efficiency and profitability of EC credit institutions201996EC banking This e-book is devoted to global optimization algorithms, which are methods to find optimal solutions for given problems. It especially focuses on evolutionary computation by discussing evolutionary algorithms, genetic algorithms, genetic programming, learning classifier systems, evolution strategy, differential evolution, particle swarm optimization, and ant colony optimization. It also elaborates on meta-heuristics like simulated annealing, hill climbing, tabu search, and random optimization.http://www.bibsonomy.org/bibtex/2f8b4308b2087652209b150d9e99c68a5/tweisetweise2007-07-16T14:29:36+02:00grammatical-evolution simulated-annealing ge ea tabu-search ec Java ga Sigoa random-optimization programming evolutionary-computation global-optimization evolutionary differential-evolution algorithms pso evolutionary-algorithm aco hill-climbing global optimization genetic-algorithm ant-colony-optimization genetic-programming particle-swarm-optimization learning-classifier-system genetic DGPF es gp evolution-strategy <span style="color:#555555;">Thomas <a href="http://www.bibsonomy.org/author/Weise">Weise</a> </span><em>Thomas Weise, </em><em>July 16, 2007 edition, </em><em>July2007. </em><em>Online available at http://www.it-weise.de/projects/book.pdf. . </em>Mon Jul 16 14:29:36 CEST 2007July 16, 2007Online as e-bookJulyOnline available at http://www.it-weise.de/projects/book.pdf.Global Optimization Algorithms – Theory and Application2007grammatical-evolution simulated-annealing ge ea tabu-search ec Java ga Sigoa random-optimization programming evolutionary-computation global-optimization evolutionary differential-evolution algorithms pso evolutionary-algorithm aco hill-climbing global optimization genetic-algorithm ant-colony-optimization genetic-programming particle-swarm-optimization learning-classifier-system genetic DGPF es gp evolution-strategy This e-book is devoted to global optimization algorithms, which are methods to find optimal solutions for given problems. It especially focuses on evolutionary computation by discussing evolutionary algorithms, genetic algorithms, genetic programming, learning classifier systems, evolution strategy, differential evolution, particle swarm optimization, and ant colony optimization. It also elaborates on meta-heuristics like simulated annealing, hill climbing, tabu search, and random optimization. With this book, we want to address two major audience groups: * It can help students since we try to describe the algorithms in an understandable, consistent way and, maybe even more important, include all background knowledge needed to understand them. Thus, you can find summaries on stochastic theory and theoretical computer science in part four. Additionally, application examples are provided which give an idea how problems can be tackled with the different techniques and what results can be expected. * Fellow researchers and PhD students maybe will find the application examples helpful too. For them, in-depth discussions on the single methodologies are included that are supported with a large set of literature references. The contents of this book are divided into four parts. In the first part, different optimization technologies will be introduced and their features are described. Often, small examples to ease understanding will be given. In the second part, we elaborate on different application examples in detail. With the Sigoa framework, a possible Java implementation of the optimization algorithms is discussed and we show how some of solutions of the previous problem instances can be realized in part three. Finally, in the last part, the background knowledge is provided for the rest of the book. Optimization is closely related to stochastic, and hence, an introduction into this subject can be found here. Other important background information concerns theoretical computer science and clustering algorithms. However, this book is currently worked on. It is still in a very preliminary phase where major parts are still missing or under construction. Other sections or texts are incomplete (tagged with TODO). There may as well be errors in the contents or issues may be stated ambiguously. Therefore, I try to update, correct, and improve this book continuously. New versions of the book will appear regularly on http://www.it-weise.de/projects/book.pdf.