Evaluation of hybrid optimization with EMO and IEC for architectural floor planning

We investigate the combinatorial effect of evolutionary multi-objective optimization (EMO) with interactive evolutionary computation (IEC). The purposes and combination ways of several presented EMO and IEC researches are different. We evaluated seven combination ways of four EMO objectives given by fitness functions and one IEC objective given by a pseudo-IEC user outputting stable evaluation regardless repeated experiments in our previous experiments. In this paper, we extend experimental conditions to 39 and evaluate them: 3 pseudo-users X 13 combination ways of 4 + 1 objectives. We also consider features of this system.

[1]  M. Inoue,et al.  Layout algorithm for an EC-based room layout planning support system , 2008, 2008 IEEE Conference on Soft Computing in Industrial Applications.

[2]  Ian C. Parmee,et al.  Multiobjective Satisfaction within an Interactive Evolutionary Design Environment , 2000, Evolutionary Computation.

[3]  Makoto Inoue,et al.  EMO-based architectural room floor planning , 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

[4]  R. K. Ursem.  Multi-objective Optimization using Evolutionary Algorithms , 2009 .

[5]  Hideyuki Takagi,et al.  Evaluation of sequential, multi-objective, and parallel interactive genetic algorithms for multi-objective optimization problems , 2002 .

[6]  C. Fonseca,et al.  GENETIC ALGORITHMS FOR MULTI-OBJECTIVE OPTIMIZATION: FORMULATION, DISCUSSION, AND GENERALIZATION , 1993 .

[7]  Shino Iwashita,et al.  Interactive Evolutionary Computation with Evaluation Characteristics of Multi-IEC Users , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

[8]  Makoto Inoue,et al.  Architectural room planning support system using methods of generating spatial layout plans and evolutionary multi-objective optimization , 2009 .

[9]  Hideyuki Takagi,et al.  Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation , 2001, Proc. IEEE.

[10]  Ying Zhang,et al.  Reduced human fatigue interactive evolutionary computation for micromachine design , 2005, 2005 International Conference on Machine Learning and Cybernetics.