Evolutionary Computation in Combinatorial Optimization, Bin Hu; Manuel L?pez-Ib??ez
Автор: Carlos Cotta; Peter I. Cowling Название: Evolutionary Computation in Combinatorial Optimization ISBN: 3642010083 ISBN-13(EAN): 9783642010088 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 9th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2009, held in Tubingen, Germany, in April 2009. This work contains papers that discuss developments and applications in metaheuristics.
Автор: Peter I. Cowling; Peter Merz Название: Evolutionary Computation in Combinatorial Optimization ISBN: 3642121381 ISBN-13(EAN): 9783642121388 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 10th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2010, held in Instanbul, Turkey, in April 2010. This book discusses developments and applications in metaheuristics.
Автор: Gabriela Ochoa; Francisco Chicano Название: Evolutionary Computation in Combinatorial Optimization ISBN: 3319164678 ISBN-13(EAN): 9783319164670 Издательство: Springer Рейтинг: Цена: 6708.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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
Автор: Francisco Chicano; Bin Hu; Pablo Garc?a-S?nchez Название: Evolutionary Computation in Combinatorial Optimization ISBN: 3319306979 ISBN-13(EAN): 9783319306971 Издательство: Springer Рейтинг: Цена: 6988.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A Hybrid Constructive Mat-Heuristic Algorithm for The Heterogeneous Vehicle Routing Problem with Simultaneous Pick-up and Delivery.- A Property Preserving Method for Extending a Single-Objective Problem Instance to Multiple Objectives with Specific Correlations.- An Evolutionary Approach to the Full Optimization of the Traveling Thief Problem.- Construct, Merge, Solve & Adapt: Application to the Repetition-Free Longest Common Subsequence Problem.- Deconstructing the Big Valley Search Space Hypothesis.- Determining the Difficulty of Landscapes by PageRank Centrality in Local Optima Networks.- Efficient Hill Climber for Multi-Objective Pseudo-Boolean Optimization.- Evaluating Hyperheuristics and Local Search Operators for Periodic Routing Problems.- Evolutionary Algorithms for Finding Short Addition Chains: Going the Distance.- Experimental Evaluation of Two Approaches to Optimal Recombination for Permutation Problems.- Hyperplane Elimination for Quickly Enumerating Local Optima.- Limits to Learning in Reinforcement Learning Hyperheuristics.- Modifying Colourings between Time-Steps to Tackle Changes in Dynamic Random Graphs.- Particle Swarm Optimisation with Sequence-Like Indirect Representation for Web Service Composition.- Particle Swarm Optimization for Multi-Objective Web Service Location Allocation.- Sim-EDA: A Multipopulation Estimation of Distribution Algorithm Based on Problem Similarity.- Solving the Quadratic Assignment Problem with Cooperative Parallel Extremal Optimization.
Автор: Frank Neumann; Carsten Witt Название: Bioinspired Computation in Combinatorial Optimization ISBN: 3642265847 ISBN-13(EAN): 9783642265846 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book shows how runtime behavior can be analyzed in a rigorous way and for combinatorial optimization in particular. It presents well-known problems such as minimum spanning trees, shortest paths, maximum matching, and covering and scheduling problems.
Описание: Transistor-level design for complex mixed-signal systems-on-chip remains difficult to automate. This book shows how a modified genetic algorithm kernel can improve efficiency in the analog IC design cycle and includes a worked example of the method.
Автор: Shengxiang Yang; Xin Yao Название: Evolutionary Computation for Dynamic Optimization Problems ISBN: 3642448437 ISBN-13(EAN): 9783642448430 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a compilation on the state-of-the-art and recent advances of evolutionary computation for dynamic optimization problems.
Описание: Transistor-level design for complex mixed-signal systems-on-chip remains difficult to automate. This book shows how a modified genetic algorithm kernel can improve efficiency in the analog IC design cycle and includes a worked example of the method.
Автор: Boting Yang; Ding-Zhu Du; Cao An Wang Название: Combinatorial Optimization and Applications ISBN: 3540850961 ISBN-13(EAN): 9783540850960 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the Second International Conference on Combinatorial Optimization and Applications, COCOA 2008, held in St John`s, Canada, in August 2008. This book includes papers that feature research in the areas of combinatorial optimization - both theoretical issues and applications motivated by real-world problems.
Описание: Constitutes the refereed proceedings of the 6th International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2009, held in Pittsburgh, PA, USA, in May 2009.
Описание: 12th International Workshop APPROX 2009 and 13th International Workshop RANDOM 2009 Berkeley CA USA. .
Автор: Shengxiang Yang; Xin Yao Название: Evolutionary Computation for Dynamic Optimization Problems ISBN: 3642384153 ISBN-13(EAN): 9783642384158 Издательство: Springer Рейтинг: Цена: 32652.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a compilation on the state-of-the-art and recent advances of evolutionary computation for dynamic optimization problems.
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