Evolutionary computation in combinatorial optimization : 17th European Conference, EvoCOP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings / Bin Hu, Manuel López-Ibáñez (eds.).
EvoCOP (Conference) (17th : 2017 : Amsterdam, Netherlands); Hu, Bin, Dr., editor.; López-Ibáñez , Manuel, editor.
2017
QA76.618
Available Online

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Title Evolutionary computation in combinatorial optimization : 17th European Conference, EvoCOP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings / Bin Hu, Manuel López-Ibáñez (eds.).
Meeting Name EvoCOP (Conference) (17th : 2017 : Amsterdam, Netherlands)
ISBN 9783319554532 (electronic book)
3319554530 (electronic book)
9783319554525
3319554522
DOI https://doi.org/10.1007/978-3-319-55453-2
Published Cham, Switzerland : Springer, 2017.
Language English
Description 1 online resource (xii, 249 pages) : illustrations.
Item Number 10.1007/978-3-319-55453-2 doi
Call Number QA76.618
Dewey Decimal Classification 005.1
Summary 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. 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 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.
Note International conference proceedings.
Includes author index.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed April 7, 2017).
Added Author Hu, Bin, Dr., editor.
López-Ibáñez , Manuel, editor.
Series Lecture notes in computer science ; 10197.
LNCS sublibrary. SL 1, Theoretical computer science and general issues.
Available in Other Form Print version: 9783319554525
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A Computational Study of Neighborhood Operators for Job-shop Scheduling Problems with Regular Objectives
A Genetic Algorithm for Multi-Component Optimization Problems: the Case of the Travelling Thief Problem
A Hybrid Feature Selection Algorithm Based on Large Neighborhood Search
A Memetic Algorithm to Maximise the Employee Substitutability in Personnel Shift Scheduling
Construct, Merge, Solve and Adapt versus Large Neighborhood Search for Solving the Multi-Dimensional Knapsack Problem: Which One Works Better When
Decomposing SAT Instances with Pseudo Backbones
Efficient Consideration of Soft Time Windows in a Large Neighborhood Search for the Districting and Routing Problem for Security Control
Estimation of Distribution Algorithms for the Firefighter Problem
LCS-Based Selective Route Exchange Crossover for the Pickup and Delivery Problem with Time Windows
Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO
Optimizing Charging Station Locations for Electric Car-Sharing Systems
Selection of Auxiliary Objectives Using Landscape Features and Offline Learned Classifier
Sparse, Continuous Policy Representations for Uniform Online Bin Packing via Regression of Interpolants
The Weighted Independent Domination Problem: ILP Model and Algorithmic .

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