عنوان

Evolutionary computation in combinatorial optimization :

(Number (ISBN

3319774484

(Number (ISBN

3319774492

(Number (ISBN

9783319774480

(Number (ISBN

9783319774497

Erroneous ISBN

9783319774480

Title Proper

Evolutionary computation in combinatorial optimization :

General Material Designation

[Book]

Other Title Information

18th European Conference, EvoCOP 2018, Parma, Italy, April 4-6, 2018, Proceedings /

First Statement of Responsibility

Arnaud Liefooghe, Manuel López-Ibáñez (eds.).

Place of Publication, Distribution, etc.

Cham, Switzerland :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

2018.

Specific Material Designation and Extent of Item

1 online resource (xiv, 189 pages) :

Other Physical Details

illustrations

Series Title

Lecture notes in computer science,

Series Title

LNCS sublibrary. SL 1, Theoretical computer science and general issues

Volume Designation

10782

ISSN of Series

0302-9743 ;

Text of Note

Includes author index.

Text of Note

International conference proceedings.

Text of Note

Intro; Preface; Organization; Contents; Better Runtime Guarantees via Stochastic Domination; 1 Introduction; 2 Stochastic Domination; 3 Domination-Based Fitness Level Method; 4 Beyond the Fitness Level Theorem; 5 Structural Domination; 6 Conclusion; References; On the Fractal Nature of Local Optima Networks; 1 Introduction; 2 Background; 2.1 The Study of Fitness Landscapes; 2.2 The Local Optima Network; 2.3 The Fractal Dimension; 2.4 Fractals and Fitness Landscapes; 2.5 Fractals and Complex Networks; 3 Experimental Setting; 3.1 Test Problem; 3.2 Metaheuristics; 3.3 Fractal Analysis; 4 Results.

Text of Note

2 Related Work3 Proposed Approach; 3.1 Grammar and the Heuristic Search Space; 3.2 Automatic Design Using irace; 4 Experiments and Results; 4.1 Tuning with a Single Instance Set; 4.2 Tuning with a Random Instance Set; 5 Conclusions; References; Automatic Algorithm Configuration for the Permutation Flow Shop Scheduling Problem Minimizing Total Completion Time; 1 Introduction; 2 Automatic Algorithm Configuration; 2.1 Grammar and Components; 2.2 Solution Representation; 2.3 Search Strategy; 3 Computational Experiments; 3.1 Benchmarks; 3.2 Experimental Setup; 3.3 Results; 4 Conclusions.

Text of Note

4.1 Fractals and Epistasis4.2 Fractal Dimension and Search Performance; 5 Discussion; 5.1 The Fractal Shape of Local Optima Networks; 5.2 Connections with Search Difficulty; 6 Conclusions and Future Work; References; How Perturbation Strength Shapes the Global Structure of TSP Fitness Landscapes; 1 Introduction; 2 Definitions and Algorithms; 3 Empirical Methodology; 3.1 Instances; 3.2 Sampling Method; 3.3 Performance and Network Metrics; 4 Results and Analysis; 4.1 Visualisation; 4.2 Performance and Network Metrics Results; 4.3 Impact of Perturbation Strength on Success Rate.

Text of Note

4.4 Correlation Analysis4.5 Correlation Variance Between Instance Classes; 5 Conclusions; References; Worst Improvement Based Iterated Local Search; 1 Introduction; 2 Definitions; 2.1 Fitness Landscapes and Related Concepts; 2.2 Bit-String Landscapes Instances; 3 Worst Improvement Hill-Climbing; 3.1 Pivoting Rules; 3.2 Additional Experiments; 4 Experimental Analysis; 4.1 Experimental Protocol; 4.2 Results; 4.3 ILS Performance and Landscape Features; 5 Conclusion; References; Automatic Grammar-Based Design of Heuristic Algorithms for Unconstrained Binary Quadratic Programming; 1 Introduction.

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8

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Text of Note

This book constitutes the refereed proceedings of the 18th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2018, held in Parma, Italy, in April 2018, co-located with the Evo* 2018 events EuroGP, EvoMUSART and EvoApplications. The 12 revised full papers presented were carefully reviewed and selected from 37 submissions. The papers cover a wide spectrum of topics, ranging from the foundations of evolutionary computation algorithms and other search heuristics, to their accurate design and application to both single- and multi-objective combinatorial optimization problems. Fundamental and methodological aspects deal with runtime analysis, the structural properties of fitness landscapes, the study of metaheuristics core components, the clever design of their search principles, and their careful selection and configuration by means of automatic algorithm configuration and hyper-heuristics. Applications cover conventional academic domains such as NK landscapes, binary quadratic programming, traveling salesman, vehicle routing, or scheduling problems, and also include real-world domains in clustering, commercial districting and winner determination.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9783319774497

International Standard Book Number

9783319774480

Parallel Title

EvoCOP 2018

Combinatorial optimization-- Data processing, Congresses.

Evolutionary computation, Congresses.

Evolutionary programming (Computer science), Congresses.

Algorithms & data structures.

Artificial intelligence.

Combinatorial optimization-- Data processing.

Computers-- Data Modeling & Design.

Computers-- Data Processing.

Computers-- Intelligence (AI) & Semantics.

Computers-- Programming-- Algorithms.

Discrete mathematics.

Evolutionary computation.

Evolutionary programming (Computer science)

Mathematical theory of computation.

COM051300

UYA

UYA

Number

Edition

Class number

Liefooghe, Arnaud

López-Ibáñez, Manuel

EvoCOP (Conference)(18th :2018 :, Parma, Italy)

Date of Transaction

20200823112134.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y