Abstract: In order to solve the complicated function optimization problems, a new optimization algorithm was constructed based on the memory principles (MP) and interpersonal relationship (IR), namely memory principles-based interpersonal relationship optimization (MP-IRO). There are five object types in interpersonal relationship system, including lovers, friends, enemies, villains and strangers which successively correspond to loving, gathering, attacking, rejecting, defending instincts and five operators; the loving operator gives preference to individuals which memory type is long memory(LM) and shares CP with other individuals; the gathering operator could make individuals avert local optima; the attacking operator enables an individual's vitality to increase; the rejecting operator can be far from instantaneous memory to expand the search coverage; the defending operator increases the randomness. Results show that the algorithm has characteristics of strong search capability and high adaptability for the complicated function optimization problems.

Key words: function optimization, population-based intelligent optimization computation, memory principles, interpersonal relationship, MP-IRO algorithm