Outlook algorithm is presented to solve global optimization problems in this paper.Based on common knowledge that one decides the highest point of mountains by outlook

by employing supervision mechanism of outlook

strategies of generating outlook points and mechanisms of constructing and solving local problems

outlook algorithm can solve any global optimization problem in a relatively short time.A large number of tests show that outlook algorithm is of higher convergence ratio

stronger capacity to obtain all solutions of global optimization problems

little dependence on initial solution and simplicity in deciding its control parameters.It can be ensured that the quality of iterative points will gradually improve in the iterative process of outlook algorithm.The three-level memory mechanism of outlook algorithm greatly increases its convergence rate.A large number of contrast tests also show that outlook algorithm has advantage over genetic algorithm in convergence ratio and capacity of global search

and spends less time than genetic algorithm in most cases.Since outlook algorithm simulates human behavioral and inferential intelligence

it exploits a brand new way to solve global optimization problems.