Evolutionary computation in combinat...
Ochoa, Gabriela.

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  • Evolutionary computation in combinatorial optimization = 15th European Conference, EvoCOP 2015, Copenhagen, Denmark, April 8-10, 2015 : proceedings /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Evolutionary computation in combinatorial optimization/ edited by Gabriela Ochoa, Francisco Chicano.
    其他題名: 15th European Conference, EvoCOP 2015, Copenhagen, Denmark, April 8-10, 2015 : proceedings /
    其他題名: EvoCOP 2015
    其他作者: Ochoa, Gabriela.
    出版者: Cham :Springer International Publishing : : 2015.,
    面頁冊數: xii, 235 p. :ill., digital ;24 cm.
    內容註: 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 [epsilon]-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.
    Contained By: Springer eBooks
    標題: Evolutionary computation - Congresses. -
    電子資源: http://dx.doi.org/10.1007/978-3-319-16468-7
    ISBN: 9783319164687 (electronic bk.)
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W9268550 電子資源 01.外借(書)_YB 電子書 EB QA76.618 .E93 2015 一般使用(Normal) 在架 0
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