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Evolutionary Computation in Combinatorial Optimization de Christian Blum

Evolutionary Computation in Combinatorial Optimization

Editat de Christian Blum, Gabriela Ochoa
en Limba Engleză Paperback – 28 aug 2014
This book constitutes the refereed proceedings of the 14th European Conference on Evolutionary Computation in Combinatorial Optimization, Evo COP 2014, held in Granada, Spain, in April 2014, co-located with the Evo*2014 events Euro GP, Evo BIO, Evo MUSART and Evo Applications.
The 20 revised full papers presented were carefully reviewed and selected from 42 submissions. The papers cover the following topics: swarm intelligence algorithms, fitness landscapes and adaptive algorithms, real world and routing problems and cooperative and metaheuristic search.
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Specificații

ISBN-13: 9783662443194
ISBN-10: 3662443198
Pagini: 256
Ilustrații: XII, 241 p. 62 illus.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.39 kg
Ediția:2014
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

A Hybrid Ant Colony Optimization Algorithm for the Far From Most String Problem.- A Parametric Framework for Cooperative Parallel Local Search.- A Survey of Meta-heuristics Used for Computing Maximin Latin Hypercube.- An Analysis of Parameters of irace.- An Improved Multi-objective Algorithm for the Urban Transit Routing Problem.- An Iterated Greedy Heuristic for Simultaneous Lot-Sizing and Scheduling Problem in Production Flow Shop Environments.- Balancing Bicycle Sharing Systems: An Approach for the Dynamic Case.- Cooperative Selection: Improving Tournament Selection via Altruism.- Diversity-Driven Selection of Multiple Crossover Operators for the Capacitated Arc Routing Problem.- Dynamic Period Routing for a Complex Real-World System: A Case Study in Storm Drain Maintenance.- Elementary Landscape Decomposition of the Hamiltonian Path Optimization Problem.- Gaussian Based Particle Swarm Optimisation and Statistical Clustering for Feature Selection Global Optimization of Multimodal Deceptive Functions.- Learning Inherent Networks from Stochastic Search Methods.- Metaheuristics for the Pick-Up and Delivery Problem with Contracted Orders.- Modeling an Artificial Bee Colony with Inspector for Clustering Tasks.- Personalized Multi-day Trips to Touristic Regions: A Hybrid GA-VND Approach.- Phase Transition and Landscape Properties of the Number Partitioning Problem.- The Firefighter Problem: Application of Hybrid Ant Colony Optimization Algorithms.- The Influence of Correlated Objectives on Different Types of P-ACO Algorithms. 
A Parametric Framework for Cooperative Parallel Local Search.- A Survey of Meta-heuristics Used for Computing Maximin Latin Hypercube.- An Analysis of Parameters of irace.- An Improved Multi-objective Algorithm for the Urban Transit Routing Problem.- An Iterated Greedy Heuristic for Simultaneous Lot-Sizing and Scheduling Problem in Production Flow Shop Environments.- Balancing Bicycle Sharing Systems: AnApproach for the Dynamic Case.- Cooperative Selection: Improving Tournament Selection via Altruism.- Diversity-Driven Selection of Multiple Crossover Operators for the Capacitated Arc Routing Problem.- Dynamic Period Routing for a Complex Real-World System: A Case Study in Storm Drain Maintenance.- Elementary Landscape Decomposition of the Hamiltonian Path Optimization Problem.- Gaussian Based Particle Swarm Optimisation and Statistical Clustering for Feature Selection Global Optimization of Multimodal Deceptive Functions.- Learning Inherent Networks from Stochastic Search Methods.- Metaheuristics for the Pick-Up and Delivery Problem with Contracted Orders.- Modeling an Artificial Bee Colony with Inspector for Clustering Tasks.- Personalized Multi-day Trips to Touristic Regions: A Hybrid GA-VND Approach.- Phase Transition and Landscape Properties of the Number Partitioning Problem.- The Firefighter Problem: Application of Hybrid Ant Colony Optimization Algorithms.- The Influence of Correlated Objectives on Different Types of P-ACO Algorithms.