A new method called mutable smart bee (MSB) algorithm proposed for cooperative optimizing of the maximum power output\n(MPO) and minimum entropy generation (MEG) of an Atkinson cycle as a multiobjective, multi-modal mechanical problem.\nThis method utilizes mutable smart bee instead of classical bees. The results have been checked with some of the most common\noptimizing algorithms like Karaboga�s original artificial bee colony, bees algorithm (BA), improved particle swarm optimization\n(IPSO), Lukasik firefly algorithm (LFFA), and self-adaptive penalty function genetic algorithm (SAPF-GA). According to obtained\nresults, it can be concluded thatMutable Smart Bee (MSB) is capable to maintain its historical memory for the location and quality\nof food sources and also a little chance of mutation is considered for this bee. These features were found as strong elements for\nmining data in constraint areas and the results will prove this claim.
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