启发式算法(heuristic)是相对于最优化算法提出的。一个问题的最优算法求得该问题每个实例的最优解。 启发式算法可以这样定义: 一个基于直观或经验构造的算法,在可接受的花费(指计算时间和空间)下给出待解决组合优化问题每一个实例的一个可行解,该可行解与最优解的偏离程度一般不能被预计。 现阶段,启发式算法以...
Heuristic Algorithm for Approximation Betweenness Centrality Using Graph Coarseninggraph algorithmsbetweenness centralityapproximate computationNowadays, graph analytics are widely used in many research fields and applications. One important analytic that measures the influence of each vertex on flows through the ...
This article aims to develop a fast, trustworthy routing algorithm for autonomous vehicles without requiring learning data, where the routing problem with special constraints and features is an extended version of the orienteering problem. For this, firstly, the method for selecting trustworthiness requir...
It is basically an extension of the algorithm of Johnson [20]. The CDS creates m−1 problems with of two “virtual” machines, each of them containing some of the original m machines. Johnson's algorithm is then applied to the m−1 problems with two virtual machines and m−1 ...
We simulated a large-scale Uncapacitated Warehouse (Facility) Location Problems (UFLP) in the real world on a digital map, and found an approximate solutio... K Hidaka,H Okano - Simulation Conference 被引量: 32发表: 1997年 A Survey on Meta-Heuristic Global Optimization Algorithms Optimization ...
whether an algorithm will work and why if it does. Heuristic and meta-heuristic make few or no assumptions about the problem being optimized. Heuristics does not guarantee the best optimum solution always. But it can give the good solution at a reasonably faster rate. On the other hand, heu...
It is true to say that since Gilmore and Gomory (1961) proposed their algorithm based on column generation, many exact algorithms have been proposed (see Coffield and Crisp 1976, Sarker 1988 and Gradišar et al. 1999) or approximate (see Cherri et al. 2012, Coelho et al. 2017 and Ev...
into two categories: accurate methods and approximate methods. When solving NP-hard problems such as two-dimensional nesting, the MetaHeuristic algorithm is a better solution. Therefore, this article focuses on the application of the MetaHeuristic algorithm to...
It is used for selecting pairs of vertices for addition and lowers the average complexity for this task. We also introduce a k-bipartite core reduction rule to decrease the scale of all massive instances, which helps our algorithm find optimal solutions for many massive instances. These ...
approximate algorithmNowadays, meta-heuristic algorithms have earned special position in optimization problems, particularlynonlinear programming. In this study, a new meta-heuristic algorithm called Improvement of position(IMPRO Algorithm) is recommended to solve the optimization problems. This algorithm, ...