AMH: a new Framework to Design Adaptive Metaheuristics

Aymeric Blot 1, 2, 3, 4 Marie-Éléonore Kessaci-Marmion 3, 1, 2, 4 Laetitia Jourdan 4, 2, 1, 3
1 DOLPHIN - Parallel Cooperative Multi-criteria Optimization
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
3 ORKAD - Operational Research, Knowledge And Data
CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Abstract : Metaheuristics should be configured to perform well on a given problem. Their configuration is either made off-line by automatic algorithm configuration tools or on-line with control mechanisms to adapt their behaviour. The former requires a flexible structure that may be modified during the execution. Therefore, the implementation of such a structure is not straightforward to enable modifications of optimisation strategies and not of parameter values only. In this work, we present AMH, a framework dedicated to the design of configurable metaheuristics. This framework is based on controlling the execution flow of metaheuristics to enable the implementation of flexible structures.
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Aymeric Blot, Marie-Éléonore Kessaci-Marmion, Laetitia Jourdan. AMH: a new Framework to Design Adaptive Metaheuristics. 12th Metaheuristics International Conference, Jul 2017, Barcelona, Spain. ⟨hal-01559687⟩

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