ROOF 发表于 2025-3-25 06:40:50

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TSH582 发表于 2025-3-25 11:08:38

A short tour of combinatorial optimization and computational complexity,ms, polynomial-time algorithms, and .-complete problems. The chapter concludes with a discussion of solution approaches for .-hard problems, introducing constructive heuristics, local search or improvement procedures and, finally, metaheuristics.

sed-rate 发表于 2025-3-25 15:42:53

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Introduction 发表于 2025-3-25 17:04:03

Parallel GRASP heuristics,rocessors sharing and exchanging information about elite solutions visited during the GRASP iterations. This chapter is an introduction to parallel GRASP heuristics, covering multiple-walk independent-thread strategies, multiple-walk cooperative-thread strategies, and some applications of parallel GRASP and parallel GRASP with path-relinking.

进取心 发表于 2025-3-25 23:50:50

Local search,he definition of a neighborhood by a number of examples for different problems. Local search methods are introduced and different implementation issues are discussed, such as neighborhood search strategies, quick cost updates, and candidate list strategies.

不确定 发表于 2025-3-26 01:51:44

Extended construction heuristics,ions, bias functions, principles of intelligent construction based on memory and learning, the proximate optimality principle and local search applied to partially constructed solutions, and pattern-based construction strategies using vocabulary building or data mining.

iodides 发表于 2025-3-26 05:47:36

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有害处 发表于 2025-3-26 09:38:47

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Aerate 发表于 2025-3-26 15:56:25

GRASP with path-relinking,olution resulting from path-relinking is a candidate for inclusion in the elite set. In this chapter we examine elite sets, their integration with GRASP, the basic GRASP with path-relinking procedure, several variants of the basic scheme, including evolutionary path-relinking, and restart strategies for GRASP with path-relinking heuristics.

胶状 发表于 2025-3-26 17:36:45

GRASP for continuous optimization,te locally optimal solution. A deterministic rule triggers a restart after each C-GRASP iteration. This chapter addresses the construction phase and the restart strategy, and presents a local search procedure for continuous GRASP.
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查看完整版本: Titlebook: Optimization by GRASP; Greedy Randomized Ad Mauricio G.C. Resende,Celso C. Ribeiro Textbook 2016 Springer Science+Business Media New York 2