While multi-agent systems have been successfully applied to combinatorial optimization, very few works concern their applicability to continuous optimization problems. In this article we propose a framework for modeling a continuous optimization problems as multi-agent system,which we call NDMO, by representing the problem as an agent graph, and complemented with optimization solving behaviors. Some of the results we obtained with our implementation on several continuous optimization problems are presented
Several papers in the literature employ agent-based modeling approach for providing reasonable solut...
This paper introduces DAFO, a Distributed Agent Framework for Optimization that helps in designing a...
Continuous optimization problems are optimization problems where all variableshave a domain that typ...
International audienceWhile multi-agent systems have been successfully applied to combinatorial opti...
International audienceMultiDisciplinary Optimization (MDO) problems represent one of the hardest and...
International audienceMultiDisciplinary Optimization (MDO) problems represent one of the hardest and...
International audienceMultiDisciplinary Optimization (MDO) problems represent one of the hardest and...
MultiDisciplinary Optimization (MDO) problems represent one of the hardest and broadest domains of c...
This volume presents a collection of original research works by leading specialists focusing on nove...
International audienceReal-world optimization of complex products (e.g., planes, jet engines) is a h...
We elaborate a multi-agent based optimization method for combinatorial optimization problems named M...
Abstract—Since a couple of years, new approaches are pro-posed to solve combinatorial optimization p...
Abstract: Systems composed of several interacting autonomous agents are investigated for their poten...
This paper proposes the use of multiagent cooperation for solving global optimization problems throu...
A multi-agent system is defined as a collection of intelligent agents which are able to interact wit...
Several papers in the literature employ agent-based modeling approach for providing reasonable solut...
This paper introduces DAFO, a Distributed Agent Framework for Optimization that helps in designing a...
Continuous optimization problems are optimization problems where all variableshave a domain that typ...
International audienceWhile multi-agent systems have been successfully applied to combinatorial opti...
International audienceMultiDisciplinary Optimization (MDO) problems represent one of the hardest and...
International audienceMultiDisciplinary Optimization (MDO) problems represent one of the hardest and...
International audienceMultiDisciplinary Optimization (MDO) problems represent one of the hardest and...
MultiDisciplinary Optimization (MDO) problems represent one of the hardest and broadest domains of c...
This volume presents a collection of original research works by leading specialists focusing on nove...
International audienceReal-world optimization of complex products (e.g., planes, jet engines) is a h...
We elaborate a multi-agent based optimization method for combinatorial optimization problems named M...
Abstract—Since a couple of years, new approaches are pro-posed to solve combinatorial optimization p...
Abstract: Systems composed of several interacting autonomous agents are investigated for their poten...
This paper proposes the use of multiagent cooperation for solving global optimization problems throu...
A multi-agent system is defined as a collection of intelligent agents which are able to interact wit...
Several papers in the literature employ agent-based modeling approach for providing reasonable solut...
This paper introduces DAFO, a Distributed Agent Framework for Optimization that helps in designing a...
Continuous optimization problems are optimization problems where all variableshave a domain that typ...