Modified honey bees mating optimization algorithm for multi-objective uncertain integrated process planning and scheduling problem
نویسندگان
چکیده
منابع مشابه
Honey-bees Optimization Algorithm Applied to Path Planning Problem
Autonomous systems assume intelligent behaviour with capabilities of dealing in complex and changing environments. Problem of path planning, which can be observed as an optimization problem, seems to be of high importance for arising of intelligent behaviour for different real-world problem domains. Swarm intelligence has gained increasingly high interest among the researchers from different ar...
متن کاملAn algorithm for multi-objective job shop scheduling problem
Scheduling for job shop is very important in both fields of production management and combinatorial op-timization. However, it is quite difficult to achieve an optimal solution to this problem with traditional opti-mization approaches owing to the high computational complexity. The combination of several optimization criteria induces additional complexity and new problems. In this paper, we pro...
متن کاملA multi-objective memetic algorithm for risk minimizing vehicle routing problem and scheduling problem
In this paper, a new approach to risk minimizing vehicle routing and scheduling problem is presented. Forwarding agents or companies have two main concerns for the collection of high-risk commodities like cash or valuable commodities between the central depot and the customers: one; because of the high value of the commodities transported, the risk of ambush and robbery are very high. Two; the ...
متن کاملApplication of game theory based hybrid algorithm for multi-objective integrated process planning and scheduling
Process planning and scheduling are two key sub-functions in the manufacturing system. Traditionally, process planning and scheduling were regarded as the separate tasks to perform sequentially. Recently, a significant trend is to integrate process planning and scheduling more tightly to achieve greater performance and higher productivity of the manufacturing system. Because of the complementar...
متن کاملAn Effective Genetic Algorithm for Multi-objective Integrated Process Planning and Scheduling with Various Flexibilities in Process Planning
Process planning and scheduling are two of the most important functions in modern manufacturing system. Considering their complementarity, integrating them more tightly can improve the performance and productivity of the whole manufacturing system. Meanwhile, the multi-objective optimization problem is widespread existing in manufacturing system. In this paper, an effective genetic algorithm is...
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: International Journal of Advanced Robotic Systems
سال: 2020
ISSN: 1729-8814,1729-8814
DOI: 10.1177/1729881420925236