Titlebook: Essays and Surveys in Metaheuristics; Celso C. Ribeiro,Pierre Hansen Book 2002 Springer Science+Business Media New York 2002 Analysis.algo

忘恩負(fù)義的人

Examination of Posterior Segment,ve developed a heuristic algorithm based on a Scatter Search (SS) framework to find a lower bound for this maximization problem. The proposed algorithm was developed with two search features: a guidance search and a local search feature. For the first feature a Scatter Search algorithm was chosen wi

可憎

Recent Results in Cancer Researchscribe their commons features and their variants and we give the list of their applications to different combinatorial optimization problems. We also show how the simulated annealing algorithm and the threshold accepting algorithm can be considered as noising methods when the components of the noisi

諷刺滑稽戲劇

震驚

帽子

隱士

A Grasp for Job Shop Scheduling,entional GRASP two new concepts: an intensification strategy and POP (Proximate Optimality Principle) in the construction phase. These two concepts were first proposed by Fleurent and Glover (1999) in the context of the quadratic assignment problem. Computational experience on a large set of standar

一再煩擾

A Reactive Grasp for Transmission Network Expansion Planning,blems. GRASP is a metaheuristic that has been shown to be powerful in solving combinatorial problems. It is composed of two phases: the construction phase where a feasible solution is iteratively built, and a local search phase that seeks improvements within a given neighborhood of the solution foun

fiscal

轉(zhuǎn)換

A Study of Global Convexity for a Multiple Objective Travelling Salesman Problem,c characteristic of a combinatorial problem, but rather a property of the topology induced in a solution space by, for example, a neighborhood operator. This paper presents a study of global convexity for a multiple objective travelling salesman problem using the 2-OPT operator. The analysis is base

UTTER

A Lower Bound Based Meta-Heuristic for the Vehicle Routing Problem,tive feature of this algorithm is that the starting solution, instead of being obtained from scratch or from some kind of well known heuristic method, as is the usual pattern, is given by a lower bound for this problem. This lower bound is a minimum cost .-tree with two . edges incident on the depot