On the Integration of a TSP Heuristic into an EA for the Bi-objective Ring Star Problem

A NEW HEURISTIC FOR THE TRAVELING SALESMAN PROBLEM 251 Though simulated annealing [4] gives good results, it seems that the best heuristic for the symmetrie TSP is the one of Lin

— This paper describes a simple heuristic algorithm for seeking a quick and approximate solution to the n-job, M-machine flowshop scheduling problem under the assumptions that

Unité de recherche INRIA Lorraine, Technopôle de Nancy-Brabois, Campus scientifique, 615 rue du Jardin Botanique, BP 101, 54600 VILLERS LÈS NANCY Unité de recherche INRIA Rennes,

We first prove that the minimum and maximum traveling salesman prob- lems, their metric versions as well as some versions defined on parameterized triangle inequalities

Three metaheuristics are proposed to tackle the bi-objective RSP: a variable neighbourhood iterative Local Search (LS) and two Evolutionary Algorithms (EAs).. These algorithms

We suppose that we know that the solutions of the planar isoperimetric problem are circles. We consider a very old variant of this problem called Dido’s problem [18]. It is related

For the balanced assignment problem and the balanced subset problem, the result tables are similar to the balanced TSP (i.e. time to optimal with the lifted formulation and the

2.2 Example of modelling path viability through finite state automatons We consider at first the deterministic finite state automaton with |S| = 5 represented in the left part of