[PDF] Top 20 Two new heuristic algorithms for Covering Tour Problem

... Covering tour problem (CTP) is the generalized form of Traveling Salesman Problem (TSP), which has found different applications in the designing of distribution networks, disaster relief, and ... See full document

... a new model, namely VRPCDTW, integrating cross-docking with ...this problem is categorized as a NP-hard problem, two meta- heuristic algorithms based on the TS and VNS were ... See full document

... various algorithms are proposed with the difference names and platforms, the procedures can be grouped into two major phases: initial solution construction, and solution ...The heuristic and ... See full document

... 3. 6. Hybridized RDA & GA (RDGA) In this section, by hybridized RDA and GA, a new meta-heuristic is developed. This algorithm obtains RDA as main loop and GA as a local search. It seems that RDA is very ... See full document

... select two orders from the given collection of orders that are as unlike each other as ...us two initial ...the new models obtained are different from the older models then the new models are ... See full document

... a heuristic procedure with an objective of minimizing makespan, where set-up, processing and removal times are ...various heuristic algorithms for permutation flow shop scheduling problem ... See full document

... these two vertices is removed from the ...a tour is removed from the graph before the tours are ...this new graph, the second shortest path between the central vertex and its furthest vertex are ... See full document

... connecting two customers, then the two customers are allocated to a route by further savings, in algorithm process all non –allocated customers are placed only at start end(?) and cost function is ... See full document

... total covering problem under facility location prob- lem is an important problem to determine the minimum number of sites to locate the facilities to cover all the ...this problem comes under ... See full document

... the problem solving heuristic of making the locally optimal choice at each stage with the hope of finding a global optimum ...greedy heuristic may yield locally optimal solutions that approximate a ... See full document

... (VLNS) algorithms is to define a neighborhood N which is exponentially large with respect to the size of the problem instance, and to explore it more efficiently than with exhaustive ...CLP problem ... See full document

... the two complex problems because of the many potential intermediate destinations an MDC packet might traverse before reaching its final destination ...various algorithms have been proposed to provide ... See full document

... The task scheduling is the core research area in cloud computing. There are lots of algorithms to provide efficient mapping of tasks to resources. The particle swarm optimization is one of optimization technique ... See full document

... last two decades, metaheuristic algorithms were developed in almost every aspect of various problems, where computational intelligence is ...scheduling problem is used for assigning the Flexible job ... See full document

... RSA problem have been considered by researchers for various kinds of traffic demands, namely static and ...the problem is called as static or offline RSA ... See full document

... of heuristic optimization algorithms are the good accessibility and low computational complexity, which are applicable to deal with large and complex ...complex problem. Azaouzi et al. [9] combine a ... See full document

... Next, we review some popular dual based procedures to solve min cost flow problem. Busakar and Gowan [7] are attributed for developing successive short- est path algorithm. It successively identifies the least ... See full document

... work, two commonly used heuristic methods for solving production scheduling problems, namely, the Nearest Neighbor (NN) and Ant Colony Optimization (ACO) have been tested on a specific real-life ... See full document

... equality problem (1) is actually an optimization problem with weak coupling in the constraint (see [1] for details) and its interest covers many situations, for instance, in domain decomposition for PDEs, ... See full document

... Since the development of the TSP in the ear- ly 1930s, there has been several scholarly investi- gations on the symmetric TSP. However, the same cannot be said of the asymmetric TSP. This is ra- ther puzzling because the ... See full document