Cooperative Co-Evolution of Pattern Recognition Agents

Cooperative Co-Evolving Neural Networks for Robosoccer Simulation

Cooperative Co-evolution of GA-based Classifiers Based on Input Increments

Genetic algorithms (GAs) have been widely used as soft computing techniques in various applications, while cooperative co-evolution algorithms were proposed in the literature to improve the performance of basic GAs. In this paper, a new cooperative co-evolution algorithm, namely ECCGA, is proposed in the application domain of pattern classification. Concurrent local and global evolution and con...

Cooperative Control of Mobile Robots in Creating a Runway Platform for Quadrotor Landing

Multi-agent systems are systems in which several agents accomplish a mission in a cooperative manner. In this paper, a novel idea for the construction of a movable runway platform based on multi-agent systems is presented. It is assumed that an aerial agent (quadrotor) decides to make an emergency landing due to reasons such as a decrease in energy level or technical failure, while there is no ...

A Memetic Framework for Cooperative Co-evolutionary Feedforward Neural Networks

Cooperative co-evolution has been a major approach in neuro-evolution. Memetic computing approaches employ local refinement to selected individuals in a population. The use of crossover-based local refinement has gained attention in memetic computing. This work proposes a cooperative co-evolutionary framework that utilises the strength of local refinement from memetic computing. It employs a cr...

Co{adaptation in a Team

We introduce a cooperative co{evolutionary system to facilitate the development of teams of heterogeneous agents. We believe that k different behavioral strategies for controlling the actions of a group of k agents can combine to form a cooperation strategy which eeciently achieves global goals. We both examine the on{line adaption of be-havioral strategies utilizing genetic programming and dem...