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A thermodynamically motivated optimization algorithm: Circular wheel balance optimization

Jozef Masarik (1985)

Aplikace matematiky

The author investigates a Monte Carlo algorithm for finding suboptimal solutions for a wide clase of complicated optimization problems characterized by a large combinatorial complexity. This algorithm was applied to one specific problem: circular wheel balance optimization. The slow increase of the effort along with the increasing size of the problems and the generality of the method promise that the thermodynamically motivated optimization will become a very universal and effective optimization...

A threshold accepting approach to the open vehicle routing problem

Christos D. Tarantilis, George Ioannou, Chris T. Kiranoudis, Gregory P. Prastacos (2004)

RAIRO - Operations Research - Recherche Opérationnelle

In this paper we consider the operational planning problem of physical distribution via a fleet of hired vehicles, for which the travelling cost is solely a function of the sequence of locations visited within all open delivery routes, while vehicle fixed cost is inexistent. The problem is a special class of vehicle routing and is encountered in the literature as the Open Vehicle Routing Problem (OVRP), since vehicles are not required to return to the depot. The goal is to distribute in an optimal...

A threshold accepting approach to the Open Vehicle Routing problem

Christos D. Tarantilis, George Ioannou, Chris T. Kiranoudis, Gregory P. Prastacos (2010)

RAIRO - Operations Research

In this paper we consider the operational planning problem of physical distribution via a fleet of hired vehicles, for which the travelling cost is solely a function of the sequence of locations visited within all open delivery routes, while vehicle fixed cost is inexistent. The problem is a special class of vehicle routing and is encountered in the literature as the Open Vehicle Routing Problem (OVRP), since vehicles are not required to return to the depot. The goal is to distribute in an...

An idempotent algorithm for a class of network-disruption games

William M. McEneaney, Amit Pandey (2016)

Kybernetika

A game is considered where the communication network of the first player is explicitly modelled. The second player may induce delays in this network, while the first player may counteract such actions. Costs are modelled through expectations over idempotent probability measures. The idempotent probabilities are conditioned by observational data, the arrival of which may have been delayed along the communication network. This induces a game where the state space consists of the network delays. Even...

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