[PDF] Top 20 Population-based optimization algorithms for solving the travelling salesman problem

... the population based optimization algorithms focused on solving the ...of population based optimization algorithms such as Evolutionary Algorithms ... See full document

... which Travelling Salesman problem is solved using a generalized chromosome genetic ...traveling salesman problem (CTSP), which has not been reported by ...consistently solving ... See full document

... Buffalo Optimization is a newly designed metaheuristic optimization algorithm inspired by the migration of African buffalos from place to place across the vast African forests, deserts and savannah in ... See full document

... Colony optimization has proved suitable to solve a wide range of combinatorial optimization (or NP-hard) problems as the Travelling Salesman Problem ...ACO algorithms are; the ... See full document

... Traveling Salesman Problem (TSP) is about finding a Hamiltonian path with minimum ...cost. Travelling salesman problem (TSP) finds its application in many real world industrial ... See full document

... the Travelling Salesman problem was extensively discussed with the aim of finding out which of the two algoriths being compared would yield an optimal ...The travelling salesman ... See full document

... on population. From the population, the chromosomes are selected to be parents to crossover and produce ...is based on the fitness ...discarded. Population size must be constant for each ... See full document

... Thus, many algorithms arise in order to give a better solution. For example, genetic algorithm, particle swarm algorithm, ant colony optimisation, harmony search, intelligent water drops, Tabu search and so on. ... See full document

... combinatorial optimization problem because it is a conceptually simple problem but hard to solve, it is an NP complete problem, A Classical Traveling Salesman Problem (TSP) can ... See full document

... ABSTRACT: Travelling Salesman Problem is one of the heuristic search based technique that leads to reduce time and resources in marketing ...into travelling salesman ... See full document

... Double-bridge [14] random mutation operator is used to maintain the diversity of the population in HGA. It perturbs the original individual and increases the probability of generating better offspring through ... See full document

... Abstract—Conventional Travelling Salesman Problem (TSP) solutions are based on the assumption that time of travel between nodes is wholly dependent on ...fuzzy based TSP solution where ... See full document

... In [3] researchers use for solving the DTSP on based the hybrid method of ACO and gradient descent. They explain in their paper that combining the ACO algorithm and gradient descent are the cause that in ... See full document

... metaheuristic algorithms, neural network-based methods, ant systems and exact ...heuristic algorithms are the preferred ...for solving the ... See full document

... (ABC) algorithms in solving the Travelling Salesman Problem ...a salesman and return to the starting city along with a number of possible shortest ... See full document

... Dynamic Travelling Salesman ...sulting problem has thus a combinatorial nature in addition to being a multi-objective optimal control ...is based on a combination of the Multi Agent ... See full document

... parameter optimization was taken from the Taguchi ...method based swarm intelligence algorithms for solving well- known ...intelligence algorithms implemented in their study were ... See full document

... for solving travelling salesman problem based on improved particle swarm optimization, called ...Swarm Optimization (PSO) to apply the output of FOGS phase as the initial ... See full document

... Travelling Salesman Problem (TSP) is an optimization problem in operation ...for solving TSP are given by many researcher in last recent ...colony optimization) ... See full document

... routes based on the critical edge ...for solving TSP exist, uncertainties of the Nigerian roads such as traffic congestion, non-useable routes, road closure and unfavourable weather conditions may render an ... See full document