Evolutionary Computation in Combinatorial Optimization 15th European Conference, EvoCOP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings
by
Ochoa, Gabriela. editor.
Title
:
Evolutionary Computation in Combinatorial Optimization 15th European Conference, EvoCOP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings
Author
:
Ochoa, Gabriela. editor.
ISBN
:
9783319164687
Edition
:
1st ed. 2015.
Physical Description
:
XII, 235 p. 41 illus. online resource.
Series
:
Theoretical Computer Science and General Issues, 9026
Contents
:
A Biased Random-Key Genetic Algorithm for the Cloud Resource Management Problem -- A Computational Comparison of Different Algorithms for Very Large p-median Problems -- A New Solution Representation for the Firefighter Problem -- A Variable Neighborhood Search Approach for the Interdependent Lock Scheduling Problem -- A Variable Neighborhood Search for the Generalized Vehicle Routing Problem with Stochastic Demands -- An Iterated Local Search Algorithm for Solving the Orienteering Problem with Time Windows -- Analysis of Solution Quality of a Multi objective Optimization-Based Evolutionary Algorithm for Knapsack Problem -- Evolving Deep Recurrent Neural Networks Using Ant Colony Optimization -- Hyper-heuristic Operator Selection and Acceptance Criteria -- Improving the Performance of the Germinal Center Artificial Immune System Using ε-Dominance: A Multi-objective Knapsack Problem -- Mixing Network Extremal Optimization for Community Structure Detection -- Multi-start Iterated Local Search for the Mixed Fleet Vehicle Routing Problem with Heterogeneous Electric Vehicles -- On the Complexity of Searching the Linear Ordering Problem Neighborhoods -- Runtime Analysis of (1 + 1) Evolutionary Algorithm Controlled with Q-learning Using Greedy Exploration Strategy on ONEMAX+ZEROMAX Problem -- The New Memetic Algorithm HEAD for Graph Coloring: An Easy Way for Managing Diversity -- The Sim-EA Algorithm with Operator Auto adaptation for the Multi objective Firefighter Problem -- True Pareto Fronts for Multi-objective AI Planning Instances -- Upper and Lower Bounds on Unrestricted Black-Box Complexity of JUMPn,l -- Using Local Search to Evaluate Dispatching Rules in Dynamic Job Shop Scheduling.
Added Author
:
Ochoa, Gabriela.
Chicano, Francisco.
Added Corporate Author
:
SpringerLink (Online service)
Electronic Access
:
| Library | Material Type | Item Barcode | Shelf Number | [[missing key: search.ChildField.HOLDING]] | Status |
|---|
| Online Library | E-Book | 518973-1001 | ONLINE | | Elektronik Kütüphane |