[PDF] Top 20 A Hybrid ant Colony Tabu Search Algorithm for Solving Next Release Problems

... this hybrid is to serve as a decision tool for the decision maker by providing a wide range of optimal or near-optimal solutions, with trade-offs between the set objectives from which an informed decision can be ... See full document

... called tabu search that is combined with ant colony optimization technique to solve the job shop scheduling ...the ant colony optimization with dynamic tabu length ... See full document

... the problems of slow convergence and easy falling into local optimization for Bluetooth transmission optimization algorithms in existing Bluetooth ...on ant colony optimization algorithm and ... See full document

... Adaptive search procedure (GRASP)[3], Construction Methods[5], simulated annealing[13], tabu search[14], genetic algorithms[15,16,17], evolution strategies[4,18], scatter search[19] and ... See full document

... a hybrid algorithm based Tabu Search and Ant Colony Optimization was proposed by Katagiri et ...their hybrid algorithm provided a better performance with solution ... See full document

... for solving optimization problems [Bonabeau et al., 1999]. The Ant Algorithms was introduced in [Dorigo, 1992] and after that, it has been gained a great success by applying it on both theoretical ... See full document

... the tabu list, turn back to the initial city, and prepare for the next ...when solving small- scale TSP problems, the performance of the ant system is not ...AS algorithm weakens ... See full document

... a hybrid of Variable Neighbourhood Search and Tabu Search could be applied to the Next Release Problem in Software ...The Next Release Problem (NRP) is a problem ... See full document

... 3 algorithm is defined as: "An iterative generation process which guides a subordinate heuristic by combining intelligently different concepts for exploring and exploiting the search space, learning ... See full document

... parallel ant colony algorithm to solve the problem develops optimization model for bus transit network based on road network and zonal ...this algorithm in solving Traveling Salesman ... See full document

... basic ant colony algorithm, the pheromone coefficient ρ is a constant coefficient, but this will lead to the problem that the optimization ability of the algorithm is insufficient in the ... See full document

... ACO algorithm for the MKP, Ant-Knapsack. This algorithm is generic in the sense where it is parameterized by the components on which the pheromone trails are ...this algorithm were proposed: ... See full document

... enumeration algorithm the non-dominated paths ...for problems with greater sizes (more than 800 nodes in time-expanded network), CPU time of the ACO algorithm is much smaller than the complete ... See full document

... optimisation problems are dynamic in the sense that changes occur during the optimisation process, and therefore are more challenging than the stationary ...optimisation problems, the proposed approaches ... See full document

... This paper addresses the problem of scheduling jobs with multi batches. Multi-Item Batch Scheduling Model divides jobs into several batches so that the scheduling problem does not only determine the sequence of batches, ... See full document

... an Ant colony algorithm and provides a review of its applications to solve transportation ...the ant colony algorithm are made and ensured a solution which is very closer to the ... See full document

... Chapter 1 Introduction Research into the field of Mobile Ad-Hoc Networks (MANETs) is still in its nascent stages. This is partly because it is not cost effective to realize a fully operational real-life MANET ... See full document

... This paper presents an efficient and reliable TS based algorithm for solving the SCED problem. The proposed method solves the SCED problem subject to power balance equality constraints, limits on the active ... See full document

... 2. Meta-Heuristic Algorithm based on ACO, Tabu Search and PSP for TSP A combinatorial optimization problem has a set C = {c 1 ,…, c n } of components. A subset c 1 of components represents an optimal ... See full document

... Harmony search algorithm In the basic HS algorithm, each solution is called a ‘‘harmony’’ and represented by a D-dimension real ...HS algorithm consists of three basic phases, namely, ... See full document