Abstract. The following paper describes a cooperative coevolutionary algorithm which incorporates a novel collaboration formation mechanism. It encourages rewarding of components participating in successful collaborations from each sub-population. The successfulness of the collaboration is measured by a non-dominated sorting procedure. The algorithm has demonstrated it can perform comparably with the NSGA-II on some multiobjective function optimization problems.
Abstract. Coevolutionary algorithms are a special kind of evolutionary algorithm with advantages in ...
Abstract. We propose a new version of a multiobjective coevolutionary algorithm. The main idea of th...
Cooperative coevolution has proven to be efficient in solving global optimisation and real world ap...
The following paper describes a cooperative coevolutionary algorithm which incorporates a novel coll...
10.1109/ICSMC.2004.1399965Conference Proceedings - IEEE International Conference on Systems, Man and...
10.1109/CEC.2007.44248782007 IEEE Congress on Evolutionary Computation, CEC 20073180-318
Peng X, Jin Y, Wang H. Multimodal Optimization Enhanced Cooperative Coevolution for Large-Scale Opti...
10.1109/TEVC.2005.860762IEEE Transactions on Evolutionary Computation105527-549ITEV
The cooperative coevolution (CC) algorithm features a “divide-and-conquer” problem-solving process. ...
Cooperative coevolutionary algorithms decompose a problem into several subcomponents and optimize th...
Recently, numerous Multiobjective Evolutionary Algorithms (MOEAs) have been presented to solve real ...
Abstract. In recent years, Cooperative Coevolution (CC) was proposed as a promising framework for ta...
Cooperative coevolutionary algorithms are a popular approach to learning via problem decomposition. ...
How to maintain the population diversity is an important issue in designing a multiobjective evoluti...
We present in this work a new multi-objective cooperative coevolutionary algorithm based on SPEA2 (c...
Abstract. Coevolutionary algorithms are a special kind of evolutionary algorithm with advantages in ...
Abstract. We propose a new version of a multiobjective coevolutionary algorithm. The main idea of th...
Cooperative coevolution has proven to be efficient in solving global optimisation and real world ap...
The following paper describes a cooperative coevolutionary algorithm which incorporates a novel coll...
10.1109/ICSMC.2004.1399965Conference Proceedings - IEEE International Conference on Systems, Man and...
10.1109/CEC.2007.44248782007 IEEE Congress on Evolutionary Computation, CEC 20073180-318
Peng X, Jin Y, Wang H. Multimodal Optimization Enhanced Cooperative Coevolution for Large-Scale Opti...
10.1109/TEVC.2005.860762IEEE Transactions on Evolutionary Computation105527-549ITEV
The cooperative coevolution (CC) algorithm features a “divide-and-conquer” problem-solving process. ...
Cooperative coevolutionary algorithms decompose a problem into several subcomponents and optimize th...
Recently, numerous Multiobjective Evolutionary Algorithms (MOEAs) have been presented to solve real ...
Abstract. In recent years, Cooperative Coevolution (CC) was proposed as a promising framework for ta...
Cooperative coevolutionary algorithms are a popular approach to learning via problem decomposition. ...
How to maintain the population diversity is an important issue in designing a multiobjective evoluti...
We present in this work a new multi-objective cooperative coevolutionary algorithm based on SPEA2 (c...
Abstract. Coevolutionary algorithms are a special kind of evolutionary algorithm with advantages in ...
Abstract. We propose a new version of a multiobjective coevolutionary algorithm. The main idea of th...
Cooperative coevolution has proven to be efficient in solving global optimisation and real world ap...