Multiobjective Optimization and Artificial Immune Systems: A Review

This chapter aims to review the state of the art in algorithms of multiobjective optimization with artificial immune systems (MOAIS). As it will be focused in the chapter, Artificial Immune Systems (AIS) have some intrinsic characteristics which make them well suited as multiobjective optimization algorithms. Following this basic idea, different implementations have been proposed in the literature. This chapter aims to provide a thorough review of the literature on multiobjective optimization algorithms based on the emulation of the immune system.

[1]  P. Hajela,et al.  Immune network simulations in multicriterion design , 1999 .

[2]  Shapour Azarm,et al.  IMMUNE NETWORK SIMULATION WITH MULTIOBJECTIVE GENETIC ALGORITHMS FOR MULTIDISCIPLINARY DESIGN OPTIMIZATION , 2000 .

[3]  P. Hajela,et al.  Fuzzy multicriterion design using immune network simulation , 2001 .

[4]  B.-K. Choi,et al.  Multiobjective Optimum Design of Rotor-Bearing Systems With Dynamic Constraints Using Immune-Genetic Algorithm , 2001 .

[5]  Gregg H. Gunsch,et al.  Blind Stenanography Detection Using a Computational Immune System: A Work in Progress , 2003, Int. J. Digit. EVid..

[6]  Guan-Chun Luh,et al.  MOIA: Multi-objective immune algorithm , 2003 .

[7]  C. J. Wu,et al.  Application of immune algorithm to optimal switching operation for distribution-loss minimisation and loading balance , 2003 .

[8]  Guan-Chun Luh,et al.  Multi-objective optimal design of truss structure with immune algorithm , 2004 .

[9]  Carlos A. Coello Coello,et al.  Solving Multiobjective Optimization Problems Using an Artificial Immune System , 2005, Genetic Programming and Evolvable Machines.

[10]  F. T. S. Chan *,et al.  Fuzzy goal-programming model with an artificial immune system (AIS) approach for a machine tool selection and operation allocation problem in a flexible manufacturing system , 2005 .

[11]  Zhuhong Zhang Constrained Multiobjective Optimization Immune Algorithm: Convergence and Application , 2006, Comput. Math. Appl..

[12]  Fabio Freschi,et al.  VIS: An artificial immune network for multi-objective optimization , 2006 .

[13]  E. Ahmed,et al.  On combinatorial optimization motivated by biology , 2006, Appl. Math. Comput..

[14]  R.H.C. Takahashi,et al.  A multiobjective proposal for the TEAM benchmark problem 22 , 2006, IEEE Transactions on Magnetics.

[15]  Jean-Philippe Rennard,et al.  Handbook of Research on Nature-inspired Computing for Economics and Management , 2006 .

[16]  Mahmoud Efatmaneshnik,et al.  IMMUNITY AS A DESIGN DECISION MAKING PARADIGM FOR COMPLEX SYSTEMS: A ROBUSTNESS APPROACH , 2007, Cybern. Syst..

[17]  Frederico G. Guimarães,et al.  Design of mixed H2/Hinfinity control systems using algorithms inspired by the immune system , 2007, Inf. Sci..

[18]  Reza Tavakkoli-Moghaddam,et al.  A hybrid multi-objective immune algorithm for a flow shop scheduling problem with bi-objectives: Weighted mean completion time and weighted mean tardiness , 2007, Inf. Sci..

[19]  A. Ahuja,et al.  An AIS-ACO Hybrid Approach for Multi-Objective Distribution System Reconfiguration , 2007, IEEE Transactions on Power Systems.

[20]  Zhuhong Zhang,et al.  Immune optimization algorithm for constrained nonlinear multiobjective optimization problems , 2007, Appl. Soft Comput..

[21]  F. Freschi,et al.  Multiobjective Optimization of Parallel Cable Layout , 2007, IEEE Transactions on Magnetics.

[22]  Balasubramaniam Natarajan,et al.  Multi-objective and constrained optimization for DS-CDMA code design based on the clonal selection principle , 2008, Appl. Soft Comput..

[23]  Abdullah Al Mamun,et al.  An evolutionary artificial immune system for multi-objective optimization , 2008, Eur. J. Oper. Res..

[24]  W. Hsu,et al.  Handbook of Research on Computational Methodologies in Gene Regulatory Networks , 2009 .

[25]  Celestin Lele Folding Theory for Fantastic Filters in BL-Algebras , 2011, Int. J. Artif. Life Res..

[26]  International Journal of Natural Computing Research , 2022 .