Particle Swarm Optimization for Correlative Product Combinatorial Introduction Model
Enterprises need to develop a process to determine how to find and develop new product ideas and finally, how to successfully introduce them to the marketplace. To address this problem, conceptions of Optimal Introduction Period and Correlative Profit were presented. Based on the quantitative description of the product life cycle, a Non-Linear Semi-Infinite Programming model of new product introduction was proposed. The proposed model was solved by improved Particle Swarm Optimization (PSO) algorithms. Optimal solution of the given example shows that Particle Swarm Optimization has become the hotspot of evolutionary computation because of its excellent performance and simplicity for implement in solving combined optimization problems.
New Product Introduction Planning Non-Linear Programming Combinatorial Introduction Particle Swarm Optimization E-Commerce
Wan Fucai Dong Wei
College of Information Engineering, Shenyang University, Shenyang 110044, P. R. China Shenyang Institute of Automation, the Chinese Academy of Sciences,Shenyang 110016, P.R.China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
5974-5978
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）