Olivier Roux

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Ant Colonies optimization take inspiration from the behavior of real ant colonies to solve optimization problems. This paper presents a parallel model for ant colonies to solve the quadratic assignment problem (QAP). The cooperation between simulated ants is provided by a pheromone matrix that plays the role of a global memory. The exploration of the search(More)
Ant Colonies AC optimization take inspiration from the behavior of real ant colonies to solve optimization problems. This paper presents a parallel model for ant colonies to solve the quadratic assignment problem QAP. Parallelism demonstrates that cooperation between communicating agents improve the obtained results in solving the QAP. It demonstrates also(More)
This paper deals with multicriteria discrete-continuous problems of scheduling nonpreemptable jobs. The need for reusability and modularity leads us to build a " generic " optimisation and simulation framework, while the need to quickly generate good compromises between conflicting objectives requires the implementation of multicriteria scheduling models.(More)
These last years a new model of cooperative algorithm appeared , the model of ants colonies. This paper is dedicated to the integration of an ants colony's based cooperation method, in another algorithm, here research tabu, opposite the rough use of the computing power placed at the disposal on the current networks. The algorithms that we present are(More)
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