Multi-objective optimization in computational intelligence theory and practice /
Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO real-world...
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Format: | Electronic |
Language: | English |
Published: |
Hershey, Pa. :
IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA),
c2008.
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Online Access: | View fulltext via EzAccess |
Table of Contents:
- An Introduction to Multi-Objective Optimization / Lam Bui, Sameer Alam
- Multi-Objective Particles Swarm Optimization Approaches / Konstantinos Parsopoulos, Michael Vrahatis
- Generalized Differential Evolution for Constrained Multi-Objective Optimization / Saku Kukkonen, Jouni Lampinen
- Towards a More Efficient Multi-Objective Particle Swarm Optimizer / Luis Santana-Quintero, Noel Ramírez-Santiago, Carlos Coello Coello
- Multi-Objective Optimization Using Artificial Immune Systems / Licheng Jiao ... [et al.]
- Lexicographic Goal Programming and Assessment Tools for a Combinatorial Production Problem / Seamus McGovern, Surendra Gupta
- Evolutionary Population Dynamics and Multi-Objective Optimisation Problems / Andrew Lewis, Sanaz Mostaghim, Marcus Randall
- Multi-Objective Evolutionary Algorithms for Sensor Network Design / Ramesh Rajagopalan ... [et al.]
- Evolutionary Multi-Objective Optimization for DNA Sequence Design / Soo-Yong Shin, In-Hee Lee, Byoung-Tak Zhang
- Computational Intelligence to Speed-Up Multi-Objective Design Space Exploration of Embedded Systems / Giuseppe Ascia ... [et al.]
- Walking with EMO: Multi-Objective Robotics for Evolving Two, Four, and Six-Legged Locomotion / Jason Teo ... [et al.]
- Evolutionary Multi-Objective Optimization in Energy Conversion Systems / Andrea Toffolo
- Evolutionary Multi-Objective Optimization for Assignment Problems / Mark Kleeman, Gary Lamont
- Evolutionary Multi-Objective Optimization in Military Applications / Mark Kleeman, Gary Lamont.