An assembly sequence planning approach with a rule-based multi-state gravitational search algorithm
نویسندگان
چکیده
منابع مشابه
An Assembly Sequence Planning Approach with a Multi- State Gravitational Search Algorithm
Assembly sequence planning (ASP) becomes one of the major challenges in product design and manufacturing. A good assembly sequence leads to reduced costs and duration in the manufacturing process. However, assembly sequence planning is known to be a classical NP-hard combinatorial optimization problem; assembly sequence planning with many product components becomes more difficult to solve. In t...
متن کاملFUZZY GRAVITATIONAL SEARCH ALGORITHM AN APPROACH FOR DATA MINING
The concept of intelligently controlling the search process of gravitational search algorithm (GSA) is introduced to develop a novel data mining technique. The proposed method is called fuzzy GSA miner (FGSA-miner). At first a fuzzy controller is designed for adaptively controlling the gravitational coefficient and the number of effective objects, as two important parameters which play major ro...
متن کاملfuzzy gravitational search algorithm an approach for data mining
the concept of intelligently controlling the search process of gravitational search algorithm (gsa) is introduced to develop a novel data mining technique. the proposed method is called fuzzy gsa miner (fgsa-miner). at first a fuzzy controller is designed for adaptively controlling the gravitational coefficient and the number of effective objects, as two important parameters which play major ro...
متن کاملA Novel Multi-agent Evolutionary Algorithm for Assembly Sequence Planning
Many evolutionary algorithms for assembly sequence planning (ASP) have been researched. But those algorithms have lots of blind searching because individuals have little consideration about geometry and assembly process information of product in the evolutionary process. To improve individuals' intelligence and decrease blind searching, motivated by the self-assembly computing and multi-agent e...
متن کاملRobotic Assembly Sequence Planning and Optimization by Cuckoo Search Algorithm
The assembly sequence optimization problem is challenging as number of sequences rises staggeringly with part count making it combinatorially explosive, tedious and time consuming to solve. A Computer-Aided Process Planning (CAPP) system for robotic assembly by a discrete cuckoo search algorithm has been proposed by us to generate feasible and optimal sequences considering minimization of orien...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The International Journal of Advanced Manufacturing Technology
سال: 2015
ISSN: 0268-3768,1433-3015
DOI: 10.1007/s00170-015-6857-0