Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Indadul Khan"'
Autor:
Indadul Khan, Manas Kumar Maiti
Publikováno v:
Vietnam Journal of Computer Science, Vol 5, Iss 1, Pp 27-43 (2017)
Abstract A swap sequence-based particle swarm optimization (SSPSO) technique and genetic algorithm (GA) are used in tandem to develop a hybrid algorithm to solve generalized traveling salesman problem. Local search algorithm K-Opt is occasionally use
Externí odkaz:
https://doaj.org/article/c6631ea383b748caae45e36b11551ca0
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 44:3825-3849
In this study, Bat algorithm (BA) is modified along with K-opt operation and one newly proposed perturbation approach to solve the well known covering salesman problem (CSP). Here, along with the restriction of the radial distances of the unvisited c
Publikováno v:
Soft Computing. 26:5773-5803
In this study, the ant colony optimization (ACO) algorithm is modified with the K-opt operation to solve the covering salesman problem(CSP) under one restriction in crisp and imprecise (fuzzy, rough) environments. A CSP involves two phases- the divis
Publikováno v:
Applied Intelligence. 52:11755-11783
Publikováno v:
Evolutionary Intelligence. 16:229-245
A random-permutation technique and the features of the genetic algorithm (GA) are combined together to develop a novel heuristic for solving generalized travelling salesman problem. Here, the random-permutation technique is used to find the sequence
Publikováno v:
Applied Intelligence. 50:3942-3960
Using the concept of swap operation and swap sequence on the sequence of paths of a Traveling Salesman Problem(TSP) Artificial Bee Colony (ABC) algorithm is modified to solve multi-objective TSP. The fitness of a solution is determined using a rule f
Publikováno v:
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 27:693-717
In this study particle swarm optimization (PSO) is modified and hybridised with genetic algorithm (GA) using one’s output as the other's input to solve Traveling Salesman Problem(TSP). Here multiple velocity update rules are introduced to modify th
Autor:
Indadul Khan, Manas Kumar Maiti
Publikováno v:
Swarm and Evolutionary Computation. 44:428-438
In this research paper, Artificial Bee Colony algorithm is modified with multiple update rules and K-opt operation to solve the Traveling Salesman Problem. Here the features of swap sequences and swap operations on the sequence of cities (solution/pa
Publikováno v:
RAIT
Here a general methodology is proposed to solve both the balanced and the unbalanced multidimensional assignment problems (MAP) using any existing soft computing technique. Since MAP belongs to NP hard class, it cannot be solved in a reasonable time
Publikováno v:
RAIT
Here, using swap sequence, swap operation and different velocity update rules a modified form of Particle Swarm Optimization(PSO) technique is outlined to solve Traveling Salesman Problem (TSP) having crisp or fuzzy cost matrix. In the propose approa