CAJ | 학술논문

过程系统综合问题通常是非线性和多峰的,求解该类问题的确定性方法通常会陷入局部极值陷井,随机方法则只能以一定概率得到全局最优解.基于此,提出一种并行序贯寻优(SNTO)方法.该方法中,可行点均匀散布在可行域内,并行搜索模式为小样本条件下获得全局近最优解提供了可能.对测试函数的有效求解验证了该方法的有效性.
과정계통종합문제통상시비선성화다봉적,구해해류문제적학정성방법통상회함입국부겁치함정,수궤방법칙지능이일정개솔득도전국최우해.기우차,제출일충병행서관심우(SNTO)방법.해방법중,가행점균균산포재가행역내,병행수색모식위소양본조건하획득전국근최우해제공료가능.대측시함수적유효구해험증료해방법적유효성.
Synthesis of chemical processes is of non-convex and multi-modal. Deterministic strategies often failto find global optimum within reasonable time scales. Stochastic methodologies generally approach global solu-tion in probability. In recogniting the state of art status in the discipline, a new approach for global optimizationof processes, based on sequential number theoretic optimization (SNTO), is proposed. In this approach, sub-spaces and feasible points are derived from uniformly scattered points, and iterations over passing the corner oflocal optimum are enhanced via parallel strategy. The efficiency of the approach proposed is verified by resultsobtained from various case studies.