Complex design problems are often governed by a number of performance merits. These markers gauge how good the design is going to be, but can conflict with the performance requirements that must be met. The challenge is reconciling these two requirements. This book introduces a newly developed jumping gene algorithm, designed to address the multi-functional objectives problem and supplies a viably adequate solution in speed. The text presents various multi-objective optimization techniques and provides the technical know-how for obtaining trade-off solutions between solution spread and convergence.
Chapter 1 : Introduction
Chapter 2 : Overview of Multiobjective Optimization
Chapter 3 : Jumping Gene Computational Approach
Chapter 4 : Theoretical Analysis of JG
Chapter 5 : Performance Measures on JG
Chapter 6 : Radio-To-Fiber Repeater Placement in Wireless Local Loop Systems
Chapter 7 : Resource Management in WCDMA
Chapter 8 : Base Station Placement in WLANS
Chapter 9 : Conclusions
Appendix A : Proofs of Lemmas in Chapter 4
Appendix B : Benchmark Test Functions
Appendic B1 : Unconstrained and Constrained Test Functions
Appendix C : Chromosome Representation
Appendix D : JG Parameter Study on The Effect of Convergence
