A multi-objective lion swarm optimization based on multi-agent

<p style='text-indent:20px;'>This paper proposes a multi-objective lion swarm optimization based on multi-agent (MOMALSO) for solving the increasingly complex problem in engineering practice. First, Multi-agent system is introduced into (LSO) algorithm. The mechanism of LSO and information exchange between agents are integrated to enhance local search global ability algorithm, self-learning operation can accelerate approximate Pareto front obtained by algorithm near real front. Besides, external archive extending Finally, simulations compared with other three algorithms performed, results show that MOMALSO has significant advantages both convergence coverage, which verifies superiority effectiveness optimization.</p>