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1. Proceedings of the ... annual Conference on Evolutionary Programming [1992 - 1998]
- Conference on Evolutionary Programming.
- San Diego, CA : Evolutionary Programming Society, 1992-
- Description
- Journal/Periodical — v. : ill. ; 28 cm.
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QA76.618 .C66 1ST 1992 | Available |
QA76.618 .C66 4TH 1995 | Available |
QA76.618 .C66 5TH 1996 | Available |
QA76.618 .C66 6TH 1997 | Available |
QA76.618 .C66 7TH 1998 | Available |
2. Evolutionary computation [1993 -]
- Cambridge, Mass. : MIT Press, c1993-
- Description
- Journal/Periodical — v. : ill. ; 25 cm.
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QA402.5 .E96 V.20 2012 | Available |
QA402.5 .E96 V.19 2011 | Available |
QA402.5 .E96 V.18 2010 | Available |
QA402.5 .E96 V.17 2009 | Available |
QA402.5 .E96 V.16 2008 | Available |
QA402.5 .E96 V.15 2007 | Available |
QA402.5 .E96 V.14 2006 | Available |
QA402.5 .E96 V.13 2005 | Available |
QA402.5 .E96 V.12 2004 | Available |
QA402.5 .E96 V.11 2003 | Available |
QA402.5 .E96 V.10 2002 | Available |
QA402.5 .E96 V.9 2001 | Available |
QA402.5 .E96 V.8 2000 | Available |
QA402.5 .E96 V.7 1999 | Available |
QA402.5 .E96 V.6 1998 | Available |
QA402.5 .E96 V.5 1997 | Available |
QA402.5 .E96 V.4 1996 | Available |
QA402.5 .E96 V.3 1995 | Available |
QA402.5 .E96 V.2 1994 | Available |
QA402.5 .E96 V.1 1993 | Available |
- Description
- Book
- Online
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129912 | Available |
- IEEE International Conference on Evolutionary Computation (1995 : Perth, Australia)
- Piscataway, NJ : IEEE Service Center, c1995.
- Description
- Book — 2 v. : ill. ; 28 cm.
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QA75.5 .I575 1995 V.1 | Available |
QA75.5 .I575 1995 V.2 | Available |
- Description
- Book
- Online
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131083 | Available |
- Description
- Book
- Online
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131086 | Available |
7. Evolutionary computing : AISB Workshop, Sheffield, U.K., April 3-4, 1995 : selected papers [1995]
- AISB Workshop (2nd : 1995 : Sheffield, England)
- Berlin ; New York : Springer, ©1995.
- Description
- Book — 1 online resource (viii, 264 pages) : illustrations Digital: text file.PDF.
- Summary
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- Some combinatorial landscapes on which a genetic algorithm outperforms other stochastic iterative methods / Dave Corne and Peter Ross
- Maximum entropy analysis of genetic algorithm operators / Jonathan L. Shapiro and Adam Prügel-Bennett
- The ant colony metaphor for searching continuous design spaces / G. Bilchev and I.C. Parmee
- Broadcast based fitness sharing GA for conflict resolution among autonomous robots / Sadoyoshi Mikami, Yukinori Kakazu and Terence C. Fogarty
- An adaptive poly-parental recombination strategy / Jim Smith and T.C. Fogarty
- Neighbourhood seeding to reduce problem modality / A.J. Swann
- Specialized recombinative operators for timetabling problems / Edmund Burke, Dave Elliman and Rupert Weare
- The use of local search suggestion lists for improving the solution of timetable problems with evolutionary algorithms / Ben Paechter, Andrew Cumming and Henri Luchian
- Comparing genetic algorithms, simulated annealing, and stochastic hillclimbing on timetable problems / Peter Ross and Dave Corne
- Evolutionary learning in computational ecologies : an application to adaptive, distributed routing in communication networks / Brian Carse, Terence C. Fogarty, and Alistair Munro
- The radio link frequency assignment problem : a case study using genetic algorithms / A. Kapsalis [and others]
- Scheduling planned maintenance of the national grid / W.B. Langdon
- Genetic operators and constraint handling for pipe network optimization / Dragan A. Savic and Godfrey A. Walters
- A multi-objective approach to constrained optimisation of gas supply networks : COMOGA method / Patrick D. Surry, Nicholas J. Radcliffe and Ian D. Boyd
- Ternary decision diagram optimisation of Reed-Muller logic functions using a genetic algorithm for variable and simplification rule ordering / J.F. Miller, P. Thomson and P.V.G. Bradbeer
- An evolutionary algorithm for parametric array signal processing / Dekum Yang and Stuart Flockton
- Constraints on task and search complexity in GA + NN models of learning and adaptive behaviour / Mukesh J. Patel
- Load balancing application of the genetic algorithm in a nonstationary environment / Frank Vavak, Terence C. Fogarty and Phillip Cheng
- Exploring some commercial applications of genetic programming / Gerald Robinson and Paul McIlroy.
- Conference on Evolutionary Programming (4th : 1995 : San Diego, Calif.)
- Cambridge, Mass. : MIT Press, ©1995.
- Description
- Book — 1 online resource (xx, 805 pages) : illustrations.
- Summary
-
March 1-3, 1995, San Diego, California Evolutionary programming is one of the predominate algorithms withing the rapidly expanding field of evolutionary computation. These edited contributions to the Fourth Annual Conference on Evolutionary Programming are by leading scientists from academia, industry, and defense. The papers describe both the theory and practical application of evolutionary programming, as well as other methods of evolutionary computation including evolution strategies, genetic algorithms, genetic programming, and cultural algorithms. Topics include :- Novel Areas of Evolutionary Programming and Evolution Strategies.- Evolutionary Computation with Medical Applications.- Issues in Evolutionary Optimization Pattern Discovery, Pattern Recognition, and System Identification.- Hierarchical Levels of Learning.- Self-Adaptation in Evolutionary Computation.- Morphogenic Evolutionary Computation.- Issues in Evolutionary Optimization.- Evolutionary Applications to VLSI and Part Placement.- Applications of Evolutionary Computation to Biology and Biochemistry Control.- Applications of Evolutionary Computation.- Genetic and Inductive Logic Programming.- Genetic Neural Networks.- The Future of Evolutionary Computation. A Bradford Book. Complex Adaptive Systems series.
(source: Nielsen Book Data)
- Conference on Evolutionary Programming (4th : 1995 : San Diego, Calif.)
- Cambridge, Mass. : MIT Press, ©1995.
- Description
- Book — 1 online resource (xx, 805 pages) : illustrations.
- Summary
-
March 1-3, 1995, San Diego, California Evolutionary programming is one of the predominate algorithms withing the rapidly expanding field of evolutionary computation. These edited contributions to the Fourth Annual Conference on Evolutionary Programming are by leading scientists from academia, industry, and defense. The papers describe both the theory and practical application of evolutionary programming, as well as other methods of evolutionary computation including evolution strategies, genetic algorithms, genetic programming, and cultural algorithms. Topics include :- Novel Areas of Evolutionary Programming and Evolution Strategies.- Evolutionary Computation with Medical Applications.- Issues in Evolutionary Optimization Pattern Discovery, Pattern Recognition, and System Identification.- Hierarchical Levels of Learning.- Self-Adaptation in Evolutionary Computation.- Morphogenic Evolutionary Computation.- Issues in Evolutionary Optimization.- Evolutionary Applications to VLSI and Part Placement.- Applications of Evolutionary Computation to Biology and Biochemistry Control.- Applications of Evolutionary Computation.- Genetic and Inductive Logic Programming.- Genetic Neural Networks.- The Future of Evolutionary Computation. A Bradford Book. Complex Adaptive Systems series.
(source: Nielsen Book Data)
- Conference on Evolutionary Programming (4th : 1995 : San Diego, Calif.)
- Cambridge, Mass. : MIT Press, ©1995
- Description
- Book — 1 online resource (xx, 805 pages) : illustrations
- Summary
-
March 1-3, 1995, San Diego, California Evolutionary programming is one of the predominate algorithms withing the rapidly expanding field of evolutionary computation. These edited contributions to the Fourth Annual Conference on Evolutionary Programming are by leading scientists from academia, industry, and defense. The papers describe both the theory and practical application of evolutionary programming, as well as other methods of evolutionary computation including evolution strategies, genetic algorithms, genetic programming, and cultural algorithms.Topics include :- Novel Areas of Evolutionary Programming and Evolution Strategies.- Evolutionary Computation with Medical Applications.- Issues in Evolutionary Optimization Pattern Discovery, Pattern Recognition, and System Identification.- Hierarchical Levels of Learning.- Self-Adaptation in Evolutionary Computation.- Morphogenic Evolutionary Computation.- Issues in Evolutionary Optimization.- Evolutionary Applications to VLSI and Part Placement.- Applications of Evolutionary Computation to Biology and Biochemistry Control.- Applications of Evolutionary Computation.- Genetic and Inductive Logic Programming.- Genetic Neural Networks.- The Future of Evolutionary Computation.A Bradford Book. Complex Adaptive Systems series
- Conference on Evolutionary Programming (4th : 1995 : San Diego, Calif.)
- Cambridge, Massachusetts : MIT Press, c1995 [Piscataqay, New Jersey] : IEEE Xplore, [1995]
- Description
- Book — 1 online resource (xx, 805 pages) : illustrations
- Summary
-
March 1-3, 1995, San Diego, California Evolutionary programming is one of the predominate algorithms withing the rapidly expanding field of evolutionary computation. These edited contributions to the Fourth Annual Conference on Evolutionary Programming are by leading scientists from academia, industry, and defense. The papers describe both the theory and practical application of evolutionary programming, as well as other methods of evolutionary computation including evolution strategies, genetic algorithms, genetic programming, and cultural algorithms. Topics include :- Novel Areas of Evolutionary Programming and Evolution Strategies.- Evolutionary Computation with Medical Applications.- Issues in Evolutionary Optimization Pattern Discovery, Pattern Recognition, and System Identification.- Hierarchical Levels of Learning.- Self-Adaptation in Evolutionary Computation.- Morphogenic Evolutionary Computation.- Issues in Evolutionary Optimization.- Evolutionary Applications to VLSI and Part Placement.- Applications of Evolutionary Computation to Biology and Biochemistry Control.- Applications of Evolutionary Computation.- Genetic and Inductive Logic Programming.- Genetic Neural Networks.- The Future of Evolutionary Computation. A Bradford Book. Complex Adaptive Systems series.
(source: Nielsen Book Data)
- AI'93 Workshop on Evolutionary Computation (1993 : Melbourne, Vic.)
- Berlin ; New York : Springer, 1995.
- Description
- Book — 314 p.
- Summary
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This volume contains the best carefully revised full papers selected from the presentations accepted for the AI '93 and AI '94 Workshop on Evolutionary Computation held in Australia. The 21 papers included cover a wide range of topics in the field of evolutionary computation, from constrained function optimization to combinatorial optimization, from evolutionary programming to genetic programming, from robotic strategy learning to co-evolutionary game strategy learning. The papers reflect important recent progress in the field; more than half of the papers come from overseas.
(source: Nielsen Book Data)
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QA76.618 .A2 1993 | Available |
- Berlin ; New York : Springer, 1996.
- Description
- Book — 396 p.
- Summary
-
This volume presents a collection of revised refereed papers selected from the contributions presented at the European Conference on Artificial Evolution, AE '95, held in Brest, France, in September 1995; also included are a few papers from the predecessor conference, AE '94.Besides two invited surveys on evolution strategies and evolutionary programming, 24 full papers are presented. They are grouped into sections on evolutionary computation theory, genetic algorithm techniques, coevolution, neural networks, image processing, and applications to various optimization and other problems.
(source: Nielsen Book Data)
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QA76.618 .A77 1996 | Available |
- Bäck, Thomas, 1963-
- New York : Oxford University Press, 1996.
- Description
- Book — xii, 314 p. : ill.
- Summary
-
- PART I: A COMPARISON OF EVOLUTIONARY ALGORITHMS
- PART II: EXTENDING GENETIC ALGORITHMS.
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
- Bäck, Thomas, 1963-
- New York : Oxford University Press, 1996.
- Description
- Book — 1 online resource (xii, 314 pages) : illustrations
- Summary
-
- PART I: A COMPARISON OF EVOLUTIONARY ALGORITHMS
- PART II: EXTENDING GENETIC ALGORITHMS.
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
This book compares the three most prominent representatives of evolutionary algorithms - genetic algorithms, evolution strategies, and evolutionary programming - computational methods at the border between computer science and evolutionary biology. The algorithms are explained within a common formal framework, thereby clarifying the similarities and differences of these methods. The author also presents new results regarding the role of mutation and selection in genetic algorithms and uses a meta-evolutionary approach to confirm some of the theoretical results.
(source: Nielsen Book Data)
- Bäck, Thomas, 1963-
- Oxford ; New York : Oxford University Press, 1996.
- Description
- Book — 314 p.
- Summary
-
- PART I: A COMPARISON OF EVOLUTIONARY ALGORITHMS
- PART II: EXTENDING GENETIC ALGORITHMS.
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
- Online
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QA402.5 .B333 1996 | Available |
17. Evolutionary computing : AISB Workshop, Brighton, U.K., April 1-2, 1996 : selected papers [1996]
- AISB Workshop (1996 : Brighton, England)
- Berlin ; New York : Springer, c1996.
- Description
- Book — 304 p.
- Summary
-
This book contains a selection of papers presented at a workshop on evolutionary computing sponsored by the Society for the Study of Artificial Intelligence and Simulation of Behaviour, AISB, at the University of Sussex in Brighton, UK, in April 1996.The 22 revised full papers included in the book, together with one invited contribution, were carefully reviewed by the program committee. Twelve contributions investigate applications of evolutionary computing in various areas, such as learning, scheduling, searching, genetic programming, image processing, and robotics. Eleven papers are devoted to evolutionary computing theory and techniques.
(source: Nielsen Book Data)
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QA76.618 .A23 1996 | Available |
18. Evolutionary computing : AISB Workshop, Brighton, U.K., April 1-2, 1996 : selected papers [1996]
- AISB Workshop (1996 : Brighton, England)
- Berlin ; New York : Springer, c1996.
- Description
- Book — viii, 304 p. : ill. ; 24 cm.
- Summary
-
This book contains a selection of papers presented at a workshop on evolutionary computing sponsored by the Society for the Study of Artificial Intelligence and Simulation of Behaviour, AISB, at the University of Sussex in Brighton, UK, in April 1996.The 22 revised full papers included in the book, together with one invited contribution, were carefully reviewed by the program committee. Twelve contributions investigate applications of evolutionary computing in various areas, such as learning, scheduling, searching, genetic programming, image processing, and robotics. Eleven papers are devoted to evolutionary computing theory and techniques.
(source: Nielsen Book Data)
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QA76.618 .A23 1995 | Available |
- IEEE/Nagoya University World Wisepersons Workshop (1995 : Nagoya-shi, Japan)
- Berlin ; New York : Springer, c1996.
- Description
- Book — viii, 243 p. : ill. ; 24 cm.
- Summary
-
This book includes a selection of twelve carefully revised papers chosen from the papers accepted for presentation at the 4th IEEE/Nagoya-University World Wisepersons Workshop held in Nagoya in November 1995.The combining of the technologies of fuzzy logic, neural networks, and evolutionary computation is expected to open up a new paradigm of machine learning for the realization of human-like information generating systems. The excellent papers presented are organized in sections on fuzzy and evolutionary computation, fuzzy and learning automata, fuzzy and neural networks, genetic algorithms, and CAM-brain.
(source: Nielsen Book Data)
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QA76.87 .I346 1995 | Available |
- Michalewicz, Zbigniew.
- 3rd rev. and extended ed. - Berlin ; New York : Springer-Verlag, c1996.
- Description
- Book — xx, 387 p. : ill. ; 24 cm.
- Summary
-
- Introduction.- Part I. Genetic Algorithms. GAs: What Are They? - GAs: How Do They Work? - GAs: Why Do They Work? - GAs: Selected Topics.- Part II. Numerical Optimization. Binary or Float? - Fine Local Tuning.- Handling Constraints.- Evolution Strategies and Other Methods.- Part III. Evolution Programs. The Transportation Problem.- The Traveling Salesman Problem.- Machine Learning.- Evolutionary Programming and Genetic Programming.- A Hierarchy of Evolution Programs.- Evolution Programs and Heuristics.- Conclusions.- Appendices.- References.- Index.
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
- Online
SAL3 (off-campus storage)
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QA76.618 .M53 1996 | Available |
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