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Genetic Programming
  • Language: en
  • Pages: 349

Genetic Programming

  • Type: Book
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  • Published: 2010-04-03
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  • Publisher: Springer

Genetic Programming comprises of proceedings of the 12th European Conference on Genetic Programming, EuroGP 2010. Topics include novel models, performance enhancements, extensions of genetic programming, and various applications.

Genetic Programming
  • Language: en
  • Pages: 385

Genetic Programming

  • Type: Book
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  • Published: 2008-04-03
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  • Publisher: Springer

The 11th European Conference on Genetic Programming, EuroGP 2008, took place in Naples, Italy from 26 to 28 March in the University of Naples Congress Centre with spectacular views over the Gulf of Naples. This volume contains the papers for the 21 oral presentations and 10 posters that were presented during this time. A diverse array of topics were covered re?ecting the current state of research in the ?eld of Genetic Programming, including the latest work on representations, theory, operators and analysis, evolvable hardware, agents and numerous applications. A rigorous, double-blind peer review process was employed, with each s- mission reviewed by at least three members of the internatio...

Genetic Programming
  • Language: en
  • Pages: 390

Genetic Programming

  • Type: Book
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  • Published: 2007-06-20
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  • Publisher: Springer

This book constitutes the refereed proceedings of the 10th European Conference on Genetic Programming, EuroGP 2007, held in Valencia, Spain in April 2007 colocated with EvoCOP 2007. The 21 revised plenary papers and 14 revised poster papers were carefully reviewed and selected from 71 submissions. The papers address fundamental and theoretical issues, along with a wide variety of papers dealing with different application areas.

Business and Consumer Analytics: New Ideas
  • Language: en
  • Pages: 1000

Business and Consumer Analytics: New Ideas

  • Type: Book
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  • Published: 2019-05-30
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  • Publisher: Springer

This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the lates...

Evolutionary Computation in Combinatorial Optimization
  • Language: en
  • Pages: 251

Evolutionary Computation in Combinatorial Optimization

  • Type: Book
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  • Published: 2007-04-19
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  • Publisher: Springer

This book constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2007, held in Valencia, Spain in April 2007. The 21 revised full papers cover evolutionary algorithms as well as various other metaheuristics, like scatter search, tabu search, memetic algorithms, variable neighborhood search, ant colony optimization, and particle swarm optimization algorithms.

Applications of Evolutionary Computing
  • Language: en
  • Pages: 775

Applications of Evolutionary Computing

  • Type: Book
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  • Published: 2007-06-21
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  • Publisher: Springer

This book constitutes the refereed joint proceedings of seven workshops on evolutionary computing, EvoWorkshops 2007, held in Valencia, Spain in April 2007. It examines evolutionary computation in communications, networks, and connected systems; finance and economics; image analysis and signal processing; and transportation and logistics. Coverage also details evolutionary algorithms in stochastic and dynamic environments.

Applications of Evolutionary Computation
  • Language: en
  • Pages: 504

Applications of Evolutionary Computation

  • Type: Book
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  • Published: 2010-04-03
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  • Publisher: Springer

Evolutionary computation (EC) techniques are e?cient, nature-inspired me- ods based on the principles of natural evolution and genetics. Due to their - ciency and simple underlying principles, these methods can be used for a diverse rangeofactivitiesincludingproblemsolving,optimization,machinelearningand pattern recognition. A large and continuously increasing number of researchers and professionals make use of EC techniques in various application domains. This volume presents a careful selection of relevant EC examples combined with a thorough examination of the techniques used in EC. The papers in the volume illustrate the current state of the art in the application of EC and should help a...

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
  • Language: en
  • Pages: 312

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

  • Type: Book
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  • Published: 2007-06-21
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  • Publisher: Springer

This book constitutes the refereed proceedings of the 5th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2007, held in Valencia, Spain, April 2007. Coverage brings together experts in computer science with experts in bioinformatics and the biological sciences. It presents contributions on fundamental and theoretical issues along with papers dealing with different applications areas.

Evolutionary Computation in Combinatorial Optimization
  • Language: en
  • Pages: 300

Evolutionary Computation in Combinatorial Optimization

  • Type: Book
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  • Published: 2008-04-03
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  • Publisher: Springer

Coverage in this proceedings volume presents the latest research and details current developments and applications in metaheuristics, a paradigm to effectively solve difficult combinatorial optimization problems in industry, economics, and science.

Behavioral Program Synthesis with Genetic Programming
  • Language: en
  • Pages: 185

Behavioral Program Synthesis with Genetic Programming

  • Type: Book
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  • Published: 2015-12-15
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  • Publisher: Springer

Genetic programming (GP) is a popular heuristic methodology of program synthesis with origins in evolutionary computation. In this generate-and-test approach, candidate programs are iteratively produced and evaluated. The latter involves running programs on tests, where they exhibit complex behaviors reflected in changes of variables, registers, or memory. That behavior not only ultimately determines program output, but may also reveal its `hidden qualities' and important characteristics of the considered synthesis problem. However, the conventional GP is oblivious to most of that information and usually cares only about the number of tests passed by a program. This `evaluation bottleneck' l...