Abstract: Bionic research on three kinds of male side-spot lizard’s behavior and survival of multiply mechanism, one kind of co-evolutionary algorithm for tri-objective optimization is presented. Taking three design objectives as three kinds of lizard and mapping design variables as lizard population’s chromosome, three kinds of lizard’s self-genetic factor are formed from the chromosomes, by adopting computing factor’s index and fuzzy clustering method. Based on three kinds of lizard’s behavior, the mapping relationship between self-adaptive function and three objective functions has been established, in order to evaluate these three lizard individual ability of adapting to nature. By taking self-adaptive function as objective for co-evolutionary, the relative optimal genes of those three kinds of lizard has been obtained. Then a new chromosome has been made with the optimal genes. Based on the converge condition, the optimal chromosome is obtained with multi-generation evolution. Taking tri-objective optimization of luffing mechanism of compensative shave block for example, computed results show that this algorithm is effective.

Key words: Bionics of lizard behavior, Co-evolutionary algorithms, Luffing mechanism, Tri-objective optimization