International audienceThis chapter describes the history of metaheuristics in five distinct periods, starting long before the first use of the term and ending a long time in the future.The field of metaheuristics has undergone several paradigm shifts that have changed the way researchers look upon the development of heuristic methods. Most notably, there has been a shift from the method-centric period, in which metaheuristics were thought of as algorithms, to the framework-centric period, in which researchers think of metaheuristics as more general high-level frameworks, i.e., consistent collections of concepts and ideas that offer guidelines on how to go about solving an optimization problem heuristically.Tremendous progress has been made ...
Metaheuristic algorithms have provided efficient tools to engineering designers by which it became p...
In recent years, there have been significant advances in the theory and application of metaheuristic...
Combinatorial optimization attracted many researchers since more than three decades. Plenty of clas...
International audienceThis chapter describes the history of metaheuristics in five distinct periods,...
National audienceIn this talk, we give a birds-eye overview of the most important developments in th...
Plenary speakerNational audienceThe lecture will focus on metaheuristics and will present a general ...
In recent years, the field of combinatorial optimization has witnessed a true tsunami of “novel ” me...
The aim of ""Metaheuristics: Progress in Complex Systems Optimization"" is to provide several differ...
Matheuristics are heuristic algorithms made by the interoperation of metaheuristics and mathematic p...
A metaheuristic is a collection of algorithmic concepts that can be used to define heuristic methods...
Metaheuristics, in their original definition, are solution methods that orchestrate an interaction b...
Metaheuristics are the most exciting development in approximate optimization techniques of the last ...
Metaheuristics, and evolutionary algorithms in particular, are known to provide efficient, adaptable...
Because of successful implementations and high intensity of research, metaheuristic research has bee...
We overview metaheuristics, applied to Combinatorial Optimization (CO) problems, and survey the most...
Metaheuristic algorithms have provided efficient tools to engineering designers by which it became p...
In recent years, there have been significant advances in the theory and application of metaheuristic...
Combinatorial optimization attracted many researchers since more than three decades. Plenty of clas...
International audienceThis chapter describes the history of metaheuristics in five distinct periods,...
National audienceIn this talk, we give a birds-eye overview of the most important developments in th...
Plenary speakerNational audienceThe lecture will focus on metaheuristics and will present a general ...
In recent years, the field of combinatorial optimization has witnessed a true tsunami of “novel ” me...
The aim of ""Metaheuristics: Progress in Complex Systems Optimization"" is to provide several differ...
Matheuristics are heuristic algorithms made by the interoperation of metaheuristics and mathematic p...
A metaheuristic is a collection of algorithmic concepts that can be used to define heuristic methods...
Metaheuristics, in their original definition, are solution methods that orchestrate an interaction b...
Metaheuristics are the most exciting development in approximate optimization techniques of the last ...
Metaheuristics, and evolutionary algorithms in particular, are known to provide efficient, adaptable...
Because of successful implementations and high intensity of research, metaheuristic research has bee...
We overview metaheuristics, applied to Combinatorial Optimization (CO) problems, and survey the most...
Metaheuristic algorithms have provided efficient tools to engineering designers by which it became p...
In recent years, there have been significant advances in the theory and application of metaheuristic...
Combinatorial optimization attracted many researchers since more than three decades. Plenty of clas...