Cantitate/Preț
Produs
Total produse
Vezi coșul
Evolutionary Computing de Terence C. Fogarty

Evolutionary Computing

Editat de Terence C. Fogarty
en Limba Engleză Paperback – 11 oct 1995
This volume is based on the Workshop on Evolutionary Computing held in Sheffield, U.K., in April 1995 under the sponsorship of the Society for the Study of Artificial Intelligence and Simulation of Behavior (AISB).
The 18 full papers presented were selected during a post-workshop refereeing meeting and chosen from 32 submissions for the workshop.
The papers are organized in sections on evolutionary computing theory and techniques, timetabling, routing and scheduling, optimization, signal processing and control, and genetic programming. The collection of papers has a certain bias towards real world applications of evolutionary computing and particularly genetic algorithms.
Citește tot Restrânge

Preț: 32115 lei

Preț vechi: 40143 lei
-20%

Puncte Express: 482
Paperback (3) de la 32115 lei

Carte tipărită la comandă

Livrare economică 20 iulie-03 august

Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit de la 40000 lei Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9783540604693
ISBN-10: 3540604693
Pagini: 280
Ilustrații: VIII, 272 p.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.43 kg
Ediția:1995
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Some combinatorial landscapes on which a Genetic Algorithm outperforms other Stochastic iterative methods.- Maximum entropy analysis of genetic algorithm operators.- The ant colony metaphor for searching continuous design spaces.- Broadcast based fitness sharing GA for conflict resolution among autonomous robots.- An adaptive poly-parental recombination strategy.- Neighbourhood seeding to reduce problem modality.- Specialised recombinative operators for timetabling problems.- The use of local search suggestion lists for improving the solution of timetable problems with evolutionary algorithms.- Comparing genetic algorithms, simulated annealing, and stochastic hillclimbing on timetabling problems.- Evolutionary learning in computational ecologies: An application to adaptive distributed routing in communication networks.- The radio link frequency assignment problem: A case study using genetic algorithms.- Scheduling planned maintenance of the national grid.- Genetic operators and constraint handling for pipe network optimization.- A multi-objective approach to constrained optimisation of gas supply networks: The COMOGA method.- Ternary decision diagram optimisation of Reed-Muller logic functions using a genetic algorithm for variable and simplification rule ordering.- An evolutionary algorithm for parametric array signal processing.- Constraints on task and search complexity in GA+NN models of learning and adaptive behaviour.- Load balancing application of the genetic algorithm in a nonstationary environment.- Exploring some commercial applications of genetic programming.