The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Multi-Objective Particles Swarm Optimization Approaches
Abstract
The multiple criteria nature of most real world problems has boosted research on multi-objective algorithms that can tackle such problems effectively, with the smallest possible computational burden. Particle Swarm Optimization has attracted the interest of researchers due to its simplicity, effectiveness and efficiency in solving numerous single-objective optimization problems. Up-to-date, there are a significant number of multi-objective Particle Swarm Optimization approaches and applications reported in the literature. This chapter aims at providing a review and discussion of the most established results on this field, as well as exposing the most active research topics that can give initiative for future research.
Related Content
Nigar Kadar Mujawar.
© 2024.
28 pages.
|
Divya Mishra.
© 2024.
23 pages.
|
Bhupinder Singh, Christian Kaunert, Kittisak Jermsittiparsert, Bhumika Sharma, Anjali Raghav.
© 2024.
29 pages.
|
Tarun Kumar Kaushik, Ravish, Anurag Singh, Anjali Raghav, Bhupinder Singh.
© 2024.
19 pages.
|
Sahil Lal, Anjali Raghav, Manmeet Kaur Arora, Sanskriti Mishra, Bhupinder Singh.
© 2024.
17 pages.
|
Manvendra Singh, Vaishali Arora, Kushagra Kulshreshta.
© 2024.
25 pages.
|
Urmila Yadav, Bishwajeet Prakash.
© 2024.
19 pages.
|
|
|