Batch processes

where a great number of products are produced to meet human demands in daily life

have become significant in chemical manufacturing.However economy globalization has resulted in growing serious competitions in traditional chemical process industry.In order to keep competitive in the global market

each company must optimize the production technique and management.And scheduling is the core of production management in chemical processes.Considering the character of such processes

this paper studies the multi-objective no-wait multi-task scheduling problem of batch processes.Model and optimization methods are introduced and the problem is decomposed into two sub-problems

the sequencing and timetabling problem and used hybrid non-order strategy and modified complete local search with memory to solve the two problems separately.In addition SPEA2-based multi-objective selection is present.A large number of experiments on benchmark problems proved the feasibility and effectiveness of this algorithm.