Evolutionary Computation in Combinatorial Optimization

£44.99

Evolutionary Computation in Combinatorial Optimization

17th European Conference, EvoCOP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings

Discrete mathematics Numerical analysis Algorithms and data structures Mathematical theory of computation Maths for computer scientists Artificial intelligence

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Collection: Lecture Notes in Computer Science

Language: English

Published by: Springer

Published on: 3rd April 2017

Format: LCP-protected ePub

Size: 3 Mb

ISBN: 9783319554532


Proceedings Overview

This book constitutes the refereed proceedings of the 17th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2017, held in Amsterdam, The Netherlands, in April 2017, co-located with the Evo*2017 events EuroGP, EvoMUSART and EvoApplications.

Content and Selection

The 16 revised full papers presented were carefully reviewed and selected from 39 submissions. The papers cover both empirical and theoretical studies on a wide range of academic and real-world applications. The methods include evolutionary and memetic algorithms, large neighborhood search, estimation of distribution algorithms, beam search, ant colony optimization, hyper-heuristics and matheuristics.

Applications and Topics

Applications include both traditional domains, such as knapsack problem, vehicle routing, scheduling problems and SAT; and newer domains such as the traveling thief problem, location planning for car-sharing systems and spacecraft trajectory optimization. Papers also study important concepts such as pseudo-backbones, phase transitions in local optima networks, and the analysis of operators. This wide range of topics makes the EvoCOP proceedings an important source for current research trends in combinatorial optimization.

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