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Range image registration is an attractive topic in image processing field. It aims at finding an optimal transformation or correspondence between images captured from different views. Iterative closest point (ICP) algorithm is the most well-known method for registration. However, it needs a pre-alignment typically provided by the user. To overcome this drawback of ICP algorithm, many intelligent algorithms...
Integration of process planning and scheduling has been an important area of research. In recent times because of the advancement in computer computational capabilities, use of heuristic algorithms for the optimization of integrated process planning and scheduling (IPPS) problems has gained enormous popularity. This paper tries to summarize the major related work and present the trend associated with...
Flexible job shop scheduling problem (FJSP) is an important extension of the classical job shop scheduling problem, where the same operation could be processed on more than one machine. Owing to the high computational complexity, it is quite difficult to achieve an optimal solution with traditional optimization approaches. An improved genetic algorithm combined with tabu search is proposed to solve...
This paper presents a new topology optimization method using hybrid genetic algorithm, namely GAOC, using the evolutionary mechanism of the genetic algorithm (GA) and the interpolation scheme of optimality criteria method (OC). In GAOC, the optimality criteria method is used to initialize the genetic population, and GA is then applied to the global search in the fixed design domain. In so doing the...
In this paper we give a survey of multi-objective scheduling that have appeared in the literature or are to appear. Firstly, some basic concepts about multi-objective optimization and prevalent approaches for multi-objective optimization are given. Then, several multi-objective scheduling models are introduced and the comprehensive review of recent study on them is summarized. Finally, the trend of...
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