Celso c ribeiro (15 Ergebnisse)

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - A Hybrid Bin-Packing Heuristic to Multiprocessor Scheduling.- Efficient Edge-Swapping Heuristics for Finding Minimum Fundamental Cycle Bases.- Solving Chance-Constrained Programs Combining Tabu Search and Simulation.- An Algorithm to Identify Clusters of Solutions in Multimodal Optimisation.- On an Experimental Algorithm for Revenue Management for Cargo Airlines.- Cooperation between Branch and Bound and Evolutionary Approaches to Solve a Bi-objective Flow Shop Problem.- Simple Max-Cut for Split-Indifference Graphs and Graphs with Few P 4's.- A Randomized Heuristic for Scene Recognition by Graph Matching.- An Efficient Implementation of a Joint Generation Algorithm.- Lempel, Even, and Cederbaum Planarity Method.- A Greedy Approximation Algorithm for the Uniform Labeling Problem Analyzed by a Primal-Dual Technique.- Distributed Circle Formation for Anonymous Oblivious Robots.- Dynamic Programming and Column Generation Based Approaches for Two-Dimensional Guillotine Cutting Problems.- Engineering Shortest Path Algorithms.- How to Tell a Good Neighborhood from a Bad One: Satisfiability of Boolean Formulas.- Implementing Approximation Algorithms for the Single-Source Unsplittable Flow Problem.- Fingered Multidimensional Search Trees.- Faster Deterministic and Randomized Algorithms on the Homogeneous Set Sandwich Problem.- Efficient Implementation of the BSP/CGM Parallel Vertex Cover FPT Algorithm.- Combining Speed-Up Techniques for Shortest-Path Computations.- Increased Bit-Parallelism for Approximate String Matching.- The Role of Experimental Algorithms in Genomics.- A Fast Algorithm for Constructing Suffix Arrays for Fixed-Size Alphabets.- Pre-processing and Linear-Decomposition Algorithm to Solve the k-Colorability Problem.- An Experimental Study of UnrankingAlgorithms.- An Improved Derandomized Approximation Algorithm for the Max-Controlled Set Problem.- GRASP with Path-Relinking for the Quadratic Assignment Problem.- Finding Minimum Transmission Radii for Preserving Connectivity and Constructing Minimal Spanning Trees in Ad Hoc and Sensor Networks.- A Dynamic Algorithm for Topologically Sorting Directed Acyclic Graphs.- Approximating Interval Coloring and Max-Coloring in Chordal Graphs.- A Statistical Approach for Algorithm Selection.- An Improved Time-Sensitive Metaheuristic Framework for Combinatorial Optimization.- A Huffman-Based Error Detecting Code.- Solving Diameter Constrained Minimum Spanning Tree Problems in Dense Graphs.- An Efficient Tabu Search Heuristic for the School Timetabling Problem.- Experimental Studies of Symbolic Shortest-Path Algorithms.- Experimental Comparison of Greedy Randomized Adaptive Search Procedures for the Maximum Diversity Problem.- Using Compact Tries for Cache-Efficient Sorting of Integers.- Using Random Sampling to Build Approximate Tries for Efficient String Sorting.- The Datapath Merging Problem in Reconfigurable Systems: Lower Bounds and Heuristic Evaluation.- An Analytical Model for Energy Minimization.- A Heuristic for Minimum-Width Graph Layering with Consideration of Dummy Nodes.…

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Taschenbuch. Zustand: Neu. Combinatorial Models for Scheduling Sports Tournaments | Celso C. Ribeiro (u. a.) | Taschenbuch | EURO Advanced Tutorials on Operational Research | xxv | Englisch | 2024 | Springer | EAN 9783031372858 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Finding exact solutions to many combinatorial optimization problems in busi ness, engineering, and science still poses a real challenge, despite the impact of recent advances in mathematical programming and computer technology. New fields of applications, such as computational biology, electronic commerce, and supply chain management, bring new challenges and needs for algorithms and optimization techniques. Metaheuristics are master procedures that guide and modify the operations of subordinate heuristics, to produce improved approx imate solutions to hard optimization problems with respect to more simple algorithms. They also provide fast and robust tools, producing high-quality solutions in reasonable computation times. The field of metaheuristics has been fast evolving in recent years. Tech niques such as simulated annealing, tabu search, genetic algorithms, scatter search, greedy randomized adaptive search, variable neighborhood search, ant systems, and their hybrids are currently among the most efficient and robust optimization strategies to find high-quality solutions to many real-life optimiza tion problems. A very large nmnber of successful applications of metaheuristics are reported in the literature and spread throughout many books, journals, and conference proceedings. A series of international conferences entirely devoted to the theory, applications, and computational developments in metaheuristics has been attracting an increasing number of participants, from universities and the industry.…

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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Finding exact solutions to many combinatorial optimization problems in busi ness, engineering, and science still poses a real challenge, despite the impact of recent advances in mathematical programming and computer technology. New fields of applications, such as computational biology, electronic commerce, and supply chain management, bring new challenges and needs for algorithms and optimization techniques. Metaheuristics are master procedures that guide and modify the operations of subordinate heuristics, to produce improved approx imate solutions to hard optimization problems with respect to more simple algorithms. They also provide fast and robust tools, producing high-quality solutions in reasonable computation times. The field of metaheuristics has been fast evolving in recent years. Tech niques such as simulated annealing, tabu search, genetic algorithms, scatter search, greedy randomized adaptive search, variable neighborhood search, ant systems, and their hybrids are currently among the most efficient and robust optimization strategies to find high-quality solutions to many real-life optimiza tion problems. A very large nmnber of successful applications of metaheuristics are reported in the literature and spread throughout many books, journals, and conference proceedings. A series of international conferences entirely devoted to the theory, applications, and computational developments in metaheuristics has been attracting an increasing number of participants, from universities and the industry. …
Weitere Bilder- Hardcover
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Hardcover. Zustand: Fine. Leichte Kratzer / Abnutzungen / Druckstellen; Leichte Verformung / umgeknickte Seiten; Leichte Verschmutzung / Farbtonveränderung. Finding exact solutions to many combinatorial optimization problems in business, engineering, and science remains challenging, despite advances in mathematical programming and computer technology. New application fields, such as computational biology, electronic commerce, and supply chain management, introduce additional challenges that necessitate novel algorithms and optimization techniques. Metaheuristics serve as master procedures that enhance the performance of subordinate heuristics, yielding improved approximate solutions to complex optimization problems compared to simpler algorithms. They offer fast and robust tools that generate high-quality solutions within reasonable computation times. The field of metaheuristics has rapidly evolved, with techniques like simulated annealing, tabu search, genetic algorithms, scatter search, greedy randomized adaptive search, variable neighborhood search, and ant systems emerging as some of the most effective optimization strategies for real-life problems. Numerous successful applications of metaheuristics are documented in literature, spanning various books, journals, and conference proceedings. International conferences dedicated to the theory, applications, and computational advancements in metaheuristics have seen a growing number of participants from both academia and industry.…

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Zustand: New. The field of metaheuristics has been fast evolving. This volume presents essays on some of the main optimization strategies, including: simulated annealing; tabu search; genetic algorithms; scatter search; greedy randomized adaptive search; and variable neighbourhood search. Editor(s): Hansen, Pierre; Ribeiro, Celso C. Series: Operations Research/Computer Science Interfaces Series. Num Pages: 651 pages, biography. BIC Classification: PBU; PBW; UM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 161 x 43. Weight in Grams: 1138. . 2001. annotated ed. Hardback. . . . . Books ship from the US and Ireland. …