Abstract: This paper set up multi-resource constrained o ptimization model of project integration management which belongs to international legalized NP(non-deterministic polynomial completeness)-hard problem,and by using priority-based encoding so that made solving the model possible.And then,this paper imported particle swarmoptimization and advised a new version of particle swarmoptimization which had both inertia weight and constriction factor parameters.The author wrote Matlab procedure and applied it in integration management optimization problem that took pipeline horizontal direction drilling project for example.Particle swarmoptimization performed high efficient search capability in solving process and gained approving optimum results.In the end,this paper put stress on analyzing particle individual consciousness versus collective consciousness and the relationship between particle swarmsize and ability of cooperation searching in particle swarmoptimization parameter design.

Key words: multi-resource constrained, integration management, NP-hard problem, PSO, priority-based encoding