Multiobjective optimization is a common problem in the field of industrial cutting. In actual production settings, it necessary to rely on experience skilled workers achieve multiobjective collaborative optimization. The process intelligence perceive parameters cut object through sensors and use machines instead manual decision making. However, traditional sequential algorithm cannot satisfy pr...

in this paper an application of cellular learning automata (cla) to vlsi placement is presented. the cla, which is introduced for the first time in this paper, is different from standard cellular learning automata in two respects. it has input and the cell neighborhood varies during the operation of cla. the proposed cla based algorithm for vlsi placement is tested on number of placement proble...

Since there is a longitudinal and horizontal penetration problem between multi-level data centers in the smart grid information transmission network. Based on improved Simulated Annealing algorithm, this paper proposes storage optimization model for grids based Hadoop architecture. Combining characteristics of distributed cloud computing, are equivalent to task-oriented set. The platform flatte...

Task scheduling in an important element a distributed system. It is vital how the jobs are correctly assigned for each computer’s processor to improve performance. The presented approaches attempt reduce expense of optimizing use CPU. These techniques mostly lack planning and need be comprehensive. To address this fault, hybrid optimization technique proposed hybridization both First-Come First...

in this paper, we present a simulated annealing (sa) and a genetic algorithm (ga) based on heuristics for scheduling problem of jobs in virtual cellular manufacturing systems. a virtual manufacturing cell (vmc) is a group of resources that is dedicated to the manufacturing of a part family. although this grouping is not reflected in the physical structure of the manufacturing system, but machin...

Make-to-order is a production strategy in which manufacturing starts only after a customer's order is received; in other words, it is a pull-type supply chain operation since manufacturing is carried out as soon as the demand is confirmed. This paper studies the order acceptance problem with weighted tardiness penalties in permutation flow shop scheduling with MTO production strategy, the objec...

This paper presents a simulated annealing algorithm that based on multiple search neighborhoods to solve a special kind of timetable problem. The new algorithm also can solve those problems that can be solved by local search algorithm. Various experimental results show that the new algorithm can actually give more satisfactory solutions than general simulated annealing algorithm can do.