Natural Computing Algorithms

This book is a comprehensive introduction to natural computing algorithms, suitable for academic and industrial researchers and for undergraduate and graduate courses on natural computing in computer science, engineering and management ...

Natural Computing Algorithms

The field of natural computing has been the focus of a substantial research effort in recent decades. One particular strand of this research concerns the development of computational algorithms using metaphorical inspiration from systems and phenomena that occur in the natural world. These naturally inspired computing algorithms have proven to be successful problem-solvers across domains as diverse as management science, bioinformatics, finance, marketing, engineering, architecture and design. This book is a comprehensive introduction to natural computing algorithms, suitable for academic and industrial researchers and for undergraduate and graduate courses on natural computing in computer science, engineering and management science.

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Natural Computing Algorithms
Language: en
Pages: 554
Authors: Anthony Brabazon, Michael O'Neill, Seán McGarraghy
Categories: Computers
Type: BOOK - Published: 2015-10-08 - Publisher: Springer

The field of natural computing has been the focus of a substantial research effort in recent decades. One particular strand of this research concerns the development of computational algorithms using metaphorical inspiration from systems and phenomena that occur in the natural world. These naturally inspired computing algorithms have proven to
Differential Evolution
Language: en
Pages: 539
Authors: Kenneth Price, Rainer M. Storn, Jouni A. Lampinen
Categories: Mathematics
Type: BOOK - Published: 2006-03-04 - Publisher: Springer Science & Business Media

Problems demanding globally optimal solutions are ubiquitous, yet many are intractable when they involve constrained functions having many local optima and interacting, mixed-type variables. The differential evolution (DE) algorithm is a practical approach to global numerical optimization which is easy to understand, simple to implement, reliable, and fast. Packed with
Adaptive and Natural Computing Algorithms
Language: en
Pages: 433
Authors: Andrej Dobnikar, Uroš Lotric, Branko Šter
Categories: Computers
Type: BOOK - Published: 2011-04-09 - Publisher: Springer

The two-volume set LNCS 6593 and 6594 constitutes the refereed proceedings of the 10th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2010, held in Ljubljana, Slovenia, in April 2010. The 83 revised full papers presented were carefully reviewed and selected from a total of 144 submissions. The first
Massively Parallel Evolutionary Computation on GPGPUs
Language: en
Pages: 453
Authors: Shigeyoshi Tsutsui, Pierre Collet
Categories: Computers
Type: BOOK - Published: 2013-12-05 - Publisher: Springer Science & Business Media

Evolutionary algorithms (EAs) are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics, and finance. Such applications demand acceptable solutions with high-speed execution using finite computational resources. Therefore, there have been many attempts to develop platforms for running
Evolutionary Computation & Swarm Intelligence
Language: en
Pages: 286
Authors: Fabio Caraffini, Valentino Santucci, Alfredo Milani
Categories: Technology & Engineering
Type: BOOK - Published: 2020-11-25 - Publisher: MDPI

The vast majority of real-world problems can be expressed as an optimisation task by formulating an objective function, also known as cost or fitness function. The most logical methods to optimise such a function when (1) an analytical expression is not available, (2) mathematical hypotheses do not hold, and (3)