Review of Population Based Metahueristics in Multi - objective Optimization Problems

Problems are a part of daily living, the solution to problems most times requires optimizing various alternative goals at the same time. For the case in question, the goals to be synchronised are usually in discord with each other and no single solution is feasible. A solution that takes into consideration only one objective can produce undesirable results for the other goals/objectives. A way of escape is to devise a set of solutions that satisfy all the objectives to a certain extent without being overwhelmed by any of other objectives. This paper gives an outline of multi-objective optimization through the use of Genetic Algorithm (GA) and Particle Swam Optimization (PSO). Keywords—Genetic Algorithm, Multi-criteria Optimization, Multi-objective Optimization, Particle Swarm Optimization.