Solving multi-objective optimization problem with the desired boundary has been a great deal since few decades. This has paved way for many search algorithms which provides reasonable optimal value convincing running period. Of all the search algorithms, the swarm based algorithms were found promising in obtaining the optimal solution with minimal convergence time. This article presents few of such search algorithms that has been developed from the inspiration honeybee?s lifestyle. This could be regarded as intelligent optimization tools. Some searches even uses greedy criterion for attaining the solution if and only if it satisfies the objective function. This article gives the overview of bee?s algorithms that includes Artificial Bee Colonization (ABC), Interactive ABC (IABC), Honey Bee Mating Algorithm (HBMA), Improved Honey Bee Mating Algorithm (IHBMA), Chaotic Honey Bee Mating Algorithm (CHBMA) and our study on implementing such algorithms for the optimization of reactive power problem.