標題: AN APPROXIMATE METHOD FOR LOCAL OPTIMA FOR NONLINEAR MIXED INTEGER PROGRAMMING-PROBLEMS
作者: LI, HL
交大名義發表
資訊管理與財務金融系 註:原資管所+財金所
National Chiao Tung University
Department of Information Management and Finance
公開日期: 1-Jul-1992
摘要: For a nonlinear 0-1 integer programming problem with constraint set X = (x1,...,x(n)), we first add new constraints [GRAPHICS] to the constraint set, thus to convert the integer problem into a nonlinear programming problem. Then we utilize a modified penalty function method to solve this nonlinear program to obtain a local optima Running the proposed method by a widely commercialized nonlinear program software shows that this method is more convenient than current approaches as branch-and-bound method and implicit enumeration method. One issue remained for studies is to expand this method into a global method by systematically generating suitable starting points then to perform optimization processes from each of these points.
URI: http://hdl.handle.net/11536/3369
ISSN: 0305-0548
期刊: COMPUTERS & OPERATIONS RESEARCH
Volume: 19
Issue: 5
起始頁: 435
結束頁: 444
Appears in Collections:Articles