This paper presents a new multi-agent based hybrid particle swarm optimization technique (HMAPSO)
applied to the economic power dispatch. The earlier PSO suffers from tuning of variables, randomness
and uniqueness of solution. The algorithm integrates the deterministic search, the Multi-agent system
(MAS), the particle swarm optimization (PSO) algorithm and the bee decision-making process. Thus making
use of deterministic search, multi-agent and bee PSO, the HMAPSO realizes the purpose of optimization.
The economic power dispatch problem is a non-linear constrained optimization problem. Classical
optimization techniques like direct search and gradient methods fails to give the global optimum solution
Other Evolutionary algorithms provide only a good enough solution. To show the capability, the proposed
algorithm is applied to two cases 13 and 40 generators, respectively. The results show that this
algorithm is more accurate and robust in finding the global optimum than its counterparts