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Evolutionary computation in combinat...

Chicano, Francisco.

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Evolutionary computation in combinatorial optimization = 16th European Conference, EvoCOP 2016, Porto, Portugal, March 30 -- April 1, 2016 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Evolutionary computation in combinatorial optimization/ edited by Francisco Chicano, Bin Hu, Pablo Garcia-Sanchez.
Reminder of title:	16th European Conference, EvoCOP 2016, Porto, Portugal, March 30 -- April 1, 2016 : proceedings /
remainder title:	EvoCOP 2016
other author:	Chicano, Francisco.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xii, 267 p. :ill., digital ;24 cm.
[NT 15003449]:	A Hybrid Constructive Mat-Heuristic Algorithm for The Heterogeneous Vehicle Routing Problem with Simultaneous Pick-up and Delivery -- A Property Preserving Method for Extending a Single-Objective Problem Instance to Multiple Objectives with Specific Correlations -- An Evolutionary Approach to the Full Optimization of the Traveling Thief Problem -- Construct, Merge, Solve & Adapt: Application to the Repetition-Free Longest Common Subsequence Problem -- Deconstructing the Big Valley Search Space Hypothesis -- Determining the Difficulty of Landscapes by PageRank Centrality in Local Optima Networks -- Efficient Hill Climber for Multi-Objective Pseudo-Boolean Optimization -- Evaluating Hyperheuristics and Local Search Operators for Periodic Routing Problems -- Evolutionary Algorithms for Finding Short Addition Chains: Going the Distance -- Experimental Evaluation of Two Approaches to Optimal Recombination for Permutation Problems -- Hyperplane Elimination for Quickly Enumerating Local Optima -- Limits to Learning in Reinforcement Learning Hyperheuristics -- Modifying Colourings between Time-Steps to Tackle Changes in Dynamic Random Graphs -- Particle Swarm Optimisation with Sequence-Like Indirect Representation for Web Service Composition -- Particle Swarm Optimization for Multi-Objective Web Service Location Allocation -- Sim-EDA: A Multipopulation Estimation of Distribution Algorithm Based on Problem Similarity -- Solving the Quadratic Assignment Problem with Cooperative Parallel Extremal Optimization.
Contained By:	Springer eBooks
Subject:	Evolutionary computation - Congresses. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-30698-8
ISBN:	9783319306988

Evolutionary computation in combinatorial optimization = 16th European Conference, EvoCOP 2016, Porto, Portugal, March 30 -- April 1, 2016 : proceedings /
Evolutionary computation in combinatorial optimization16th European Conference, EvoCOP 2016, Porto, Portugal, March 30 -- April 1, 2016 : proceedings /[electronic resource] :EvoCOP 2016edited by Francisco Chicano, Bin Hu, Pablo Garcia-Sanchez. - Cham :Springer International Publishing :2016. - xii, 267 p. :ill., digital ;24 cm. - Lecture notes in computer science,95950302-9743 ;. - Lecture notes in computer science ;5353..

A Hybrid Constructive Mat-Heuristic Algorithm for The Heterogeneous Vehicle Routing Problem with Simultaneous Pick-up and Delivery -- A Property Preserving Method for Extending a Single-Objective Problem Instance to Multiple Objectives with Specific Correlations -- An Evolutionary Approach to the Full Optimization of the Traveling Thief Problem -- Construct, Merge, Solve & Adapt: Application to the Repetition-Free Longest Common Subsequence Problem -- Deconstructing the Big Valley Search Space Hypothesis -- Determining the Difficulty of Landscapes by PageRank Centrality in Local Optima Networks -- Efficient Hill Climber for Multi-Objective Pseudo-Boolean Optimization -- Evaluating Hyperheuristics and Local Search Operators for Periodic Routing Problems -- Evolutionary Algorithms for Finding Short Addition Chains: Going the Distance -- Experimental Evaluation of Two Approaches to Optimal Recombination for Permutation Problems -- Hyperplane Elimination for Quickly Enumerating Local Optima -- Limits to Learning in Reinforcement Learning Hyperheuristics -- Modifying Colourings between Time-Steps to Tackle Changes in Dynamic Random Graphs -- Particle Swarm Optimisation with Sequence-Like Indirect Representation for Web Service Composition -- Particle Swarm Optimization for Multi-Objective Web Service Location Allocation -- Sim-EDA: A Multipopulation Estimation of Distribution Algorithm Based on Problem Similarity -- Solving the Quadratic Assignment Problem with Cooperative Parallel Extremal Optimization.

This book constitutes the refereed proceedings of the 16th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2016, held in Porto, Portugal, in March/April 2016, co-located with the Evo*2015 events EuroGP, EvoMUSART and EvoApplications. The 17 revised full papers presented were carefully reviewed and selected from 44 submissions. The papers cover methodology, applications and theoretical studies. The methods included evolutionary and memetic algorithms, variable neighborhood search, particle swarm optimization, hyperheuristics, mat-heuristic and other adaptive approaches. Applications included both traditional domains, such as graph coloring, vehicle routing, the longest common subsequence problem, the quadratic assignment problem; and new(er) domains such as the traveling thief problem, web service location, and finding short addition chains. The theoretical studies involved fitness landscape analysis, local search and recombination operator analysis, and the big valley search space hypothesis. The consideration of multiple objectives, dynamic and noisy environments was also present in a number of articles.

ISBN: 9783319306988

Standard No.: 10.1007/978-3-319-30698-8doiSubjects--Topical Terms:

1244224
Evolutionary computation
--Congresses.

LC Class. No.: QA76.618

Dewey Class. No.: 005.1

Evolutionary computation in combinatorial optimization = 16th European Conference, EvoCOP 2016, Porto, Portugal, March 30 -- April 1, 2016 : proceedings /
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245 1 0 $a Evolutionary computation in combinatorial optimization $h [electronic resource] : $b 16th European Conference, EvoCOP 2016, Porto, Portugal, March 30 -- April 1, 2016 : proceedings / $c edited by Francisco Chicano, Bin Hu, Pablo Garcia-Sanchez.
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505 0 $a A Hybrid Constructive Mat-Heuristic Algorithm for The Heterogeneous Vehicle Routing Problem with Simultaneous Pick-up and Delivery -- A Property Preserving Method for Extending a Single-Objective Problem Instance to Multiple Objectives with Specific Correlations -- An Evolutionary Approach to the Full Optimization of the Traveling Thief Problem -- Construct, Merge, Solve & Adapt: Application to the Repetition-Free Longest Common Subsequence Problem -- Deconstructing the Big Valley Search Space Hypothesis -- Determining the Difficulty of Landscapes by PageRank Centrality in Local Optima Networks -- Efficient Hill Climber for Multi-Objective Pseudo-Boolean Optimization -- Evaluating Hyperheuristics and Local Search Operators for Periodic Routing Problems -- Evolutionary Algorithms for Finding Short Addition Chains: Going the Distance -- Experimental Evaluation of Two Approaches to Optimal Recombination for Permutation Problems -- Hyperplane Elimination for Quickly Enumerating Local Optima -- Limits to Learning in Reinforcement Learning Hyperheuristics -- Modifying Colourings between Time-Steps to Tackle Changes in Dynamic Random Graphs -- Particle Swarm Optimisation with Sequence-Like Indirect Representation for Web Service Composition -- Particle Swarm Optimization for Multi-Objective Web Service Location Allocation -- Sim-EDA: A Multipopulation Estimation of Distribution Algorithm Based on Problem Similarity -- Solving the Quadratic Assignment Problem with Cooperative Parallel Extremal Optimization.
520 $a This book constitutes the refereed proceedings of the 16th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2016, held in Porto, Portugal, in March/April 2016, co-located with the Evo*2015 events EuroGP, EvoMUSART and EvoApplications. The 17 revised full papers presented were carefully reviewed and selected from 44 submissions. The papers cover methodology, applications and theoretical studies. The methods included evolutionary and memetic algorithms, variable neighborhood search, particle swarm optimization, hyperheuristics, mat-heuristic and other adaptive approaches. Applications included both traditional domains, such as graph coloring, vehicle routing, the longest common subsequence problem, the quadratic assignment problem; and new(er) domains such as the traveling thief problem, web service location, and finding short addition chains. The theoretical studies involved fitness landscape analysis, local search and recombination operator analysis, and the big valley search space hypothesis. The consideration of multiple objectives, dynamic and noisy environments was also present in a number of articles.
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650 0 $a Combinatorial optimization $x Data processing $v Congresses. $3 1569031
650 0 $a Evolutionary programming (Computer science) $3 568531
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650 2 4 $a Numeric Computing. $3 892606
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 891007
650 2 4 $a Discrete Mathematics in Computer Science. $3 892513
650 2 4 $a Computation by Abstract Devices. $3 891207
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
700 1 $a Chicano, Francisco. $3 2139199
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830 0 $a Lecture notes in computer science ; $v 5353. $x 0302-9743 $3 1274248
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