A COMPREHENSIVE SURVEY: APPLICATIONS OF MULTI-OBJECTIVE PARTICLE SWARM OPTIMIZATION (MOPSO) ALGORITHM

Numerous problems encountered in real life cannot be actually formulated as a singleobjective problem; hence the requirement of multi-objective optimization (moo) had arisen severalyears ago. due to the complexities in such type of problems powerful heuristic techniques were needed,which has been strongly satisfied by swarm intelligence (si) techniques. particle swarm optimization(pso) has been established in 1995 and became a very mature and most popular domain in si. multi-objective pso (mopso) established in 1999, has become an emerging field for solving moos witha large number of extensive literature, software, variants, codes and applications. this paper reviewsall the applications of mopso in miscellaneous areas followed by the study on mopso variants inour next publication. an introduction to the key concepts in moo is followed by the main body ofreview containing survey of existing work, organized by application area along with their multipleobjectives, variants and further categorized variants.