Multi-producer group search optimizer for function optimization

Group Search Optimizer (GSO) is a population based optimization technique on the metaphor of producer-scrounger which is based on social behavior of animals where producer searches for finding foods and scrounger searches for joining opportunities. GSO has found as an efficient method for solving function optimization problems for which it modeled. Originally it was implemented for single producer. In this study we have extended the GSO algorithm for multiple producers, which is common in nature. We tested single producer and multiple producers on some benchmark problems and found better result for multiple producers.