## Coevolutionary Computation and Multiagent SystemsThe origins of evolutionary computation can be traced back to the late 1950's where it remained, almost unknown, to the broader scientific community until the late 1980's when it started to receive significant attention. This book presents the author's recent work in this field. |

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### Contents

Introduction | 1 |

An organizational coevolutionary algorithm for classification | 11 |

An organizational evolutionary algorithm for satisfiability problems | 39 |

An organizational evolutionary algorithm for numerical optimization | 51 |

Moving block sequence a new VLSI floorplan representation | 83 |

An organizational evolutionary algorithm for general floorplanning based on moving block sequence | 97 |

A multiagent genetic algorithm for global numerical optimization | 127 |

A Macroagent evolutionary model for decomposable function optimization | 155 |

A multiagent evolutionary algorithm for combinatorial optimization problems | 169 |

A multiagent evolutionary algorithm for constraint satisfaction problems | 193 |

15 unconstraint functions used in Chapter 4 | 233 |

13 constraint functions used in Chapter 4 | 235 |

Shape information and MBS corresponding to the results in Figure 62 | 241 |

Shape information and MBS corresponding to the results in Figure 63 | 249 |

Shape information and MBS corresponding to the results in Figure 64 | 255 |

### Common terms and phrases

agent lattice annexing operator Area attribute class name Coevolutionary Computation comparison complexity Computation and Multiagent computational cost Conf constraint satisfaction problems convergence CSAgent CSPs data mining datasets deceptive functions dimensions edges energy environment equation Evol evolution strategies evolutionary operators evolutionary process examples experimental results fitness function floorplanning problems function evaluations G-Net genetic algorithms global optimum GSRC HMAGA IEEE IEEE Trans initial positions interact JoinGA Li,j Lsize macroagents MAEA-CmOPs MAEA-CSPs MAGA MaxOS MBS-OEA method Minimize f(x multiagent evolutionary algorithm Multiagent Systems n-queen problems number of evaluations number of function numerical optimization obtained OCEC OEA CHc OEA_SAT OGA/Q optimization problems org1 org2 Organizational Evolutionary Algorithm organizations orgc1 orgc2 orgp1 orgp2 orthogonal parameter population Proc randomly selected rectilinear blocks Rosenbrock function rules SAT problems search space self-learning behavior solutions solving splitting operator stochastic matrix strategy subfunctions Table Theorem values variables WalkSAT