Abstract
Most inventory games are analytics-oriented and lack of a solution procedure such that its application may be retarded. In this paper particle Swarm Optimisation (PSO) is modified to solve a seller?buyer inventory game. A constraint-handling mechanism based on the symbiosis phenomenon in biology makes PSO capable to better explore the constrained search space and, finally, to find the equilibrium that characterises pricing and lot sizing for a seller and a buyer, respectively. Our effort attempts to highlight a workable approach for intractable inventory games that exact methods are impossible to apply.
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