International audienceHybridizing metaheuristic approaches becomes a common way to improve the efficiency of optimization methods. Many hybridizations deal with the combination of several optimization methods. In this paper we are interested in another type of hybridization, where datamining approaches are combined within an optimization process. Hence, we propose to study the interest of combining metaheuristics and datamining through a short survey that enumerates the different opportunities of such combinations based on literature examples
Combinatorial optimization problems arise, in many forms, in vari- ous aspects of everyday life. Now...
none2In many real life settings, high quality solutions to hard optimization problems such as flight...
none4The hybridization with other techniques for optimization has been one of the most interesting r...
Abstract. Hybridizing metaheuristic approaches becomes a common way to improve the efficiency of opt...
International audienceDuring the past few years, research in applying machine learning (ML) to desig...
When facing complex and unknown problems, it is very natural to use rules of thumb, common sense, tr...
Combinatorial optimization attracted many researchers since more than three decades. Plenty of clas...
Combinatorial optimization attracted many researchers since more than three decades. Plenty of clas...
In this paper we explore the application of powerful optimisers known as metaheuristic algorithms to...
Abstract The combination of components from different algorithms is currently one of the most succes...
The combination of components from different algorithms is currently one of most successful trends i...
[EN]This book explains the most prominent and some promising new, general techniques that combine me...
Today, combinatorial optimization is one of the youngest and most active areas of discrete mathemati...
International audienceOver the last two decades, interest on hybrid metaheuristics has risen conside...
none4The combination of components from different algorithms is currently one of the most successful...
Combinatorial optimization problems arise, in many forms, in vari- ous aspects of everyday life. Now...
none2In many real life settings, high quality solutions to hard optimization problems such as flight...
none4The hybridization with other techniques for optimization has been one of the most interesting r...
Abstract. Hybridizing metaheuristic approaches becomes a common way to improve the efficiency of opt...
International audienceDuring the past few years, research in applying machine learning (ML) to desig...
When facing complex and unknown problems, it is very natural to use rules of thumb, common sense, tr...
Combinatorial optimization attracted many researchers since more than three decades. Plenty of clas...
Combinatorial optimization attracted many researchers since more than three decades. Plenty of clas...
In this paper we explore the application of powerful optimisers known as metaheuristic algorithms to...
Abstract The combination of components from different algorithms is currently one of the most succes...
The combination of components from different algorithms is currently one of most successful trends i...
[EN]This book explains the most prominent and some promising new, general techniques that combine me...
Today, combinatorial optimization is one of the youngest and most active areas of discrete mathemati...
International audienceOver the last two decades, interest on hybrid metaheuristics has risen conside...
none4The combination of components from different algorithms is currently one of the most successful...
Combinatorial optimization problems arise, in many forms, in vari- ous aspects of everyday life. Now...
none2In many real life settings, high quality solutions to hard optimization problems such as flight...
none4The hybridization with other techniques for optimization has been one of the most interesting r...