[PDF] Top 20 Title: Genetic Algorithm for Minimum Cost Blocking Problem

... the cost for discovering such routes is expensive in terms of both time and ...a problem does arise with even unipath routing because of the aggregate nature of metrics in multi-path routing, it is more ... See full document

... Genetic algorithm is basically inspired by Darwin’s theory of natural evolution - “the survival of the ...fittest”. Genetic algorithms are adaptive heuristic search algorithm based on the ... See full document

... a genetic algorithm, many individual solutions are randomly generated to form an initial ...the genetic material in two or more parent individuals is combined to obtain one or more ...original ... See full document

... selection problem. The problem was addressed as a mean semi-variance model encompassing such functional constraints as minimum transaction lots and transaction ...transactions cost and ... See full document

... MODEL: Blocking, node-isolation and network-will be too many parameters to the consider Partitioning type attacks are easy to launch and there are effective in the wireless networks domain due to the channel ... See full document

... at minimum cost of inventory. The size and hence the cost of the inventory is influenced by a large no of ...optimization problem complex. This work presents a model to solve the ... See full document

... new algorithm called Fuzzy C-Mean Genetic Algorithm (FCMGA) to solve TSP which is used to calculate the minimum travelling cost in ...and Genetic Algorithm ...proposed ... See full document

... Constrained Minimum Weight Multicast (MCMWC) problem searching for a sub-graph with minimum ...propose genetic algorithm based solutions even for networks with uncertain parameters and ... See full document

... by genetic algorithm. For this problem, the following GA parameter values were used in analysis of variance experiments to analyse the effects of the parameters on the number of iterations required ... See full document

... optimization problem of interconnection networks where the overall cost of the network is minimized subjected to a predefined network reliability ...on genetic algorithm is proposed which uses ... See full document

... RWA problem are given under dynamic and static traffic ...assignment problem was solved by proposing new strategies ...RWA problem and use a multi objective GA(Genetic algorithm) to ... See full document

... the cost of laying the optical cable, the problem to solve is how to design the laying cable line, making the network connected and the total length of the shortest ...the cost of laying cables, it ... See full document

... a genetic algorithm owing to high nonlinearity of constraints, this paper first works on the optimal design of two-span continuous singly reinforced concrete ...total cost of steel and concrete. The ... See full document

... algorithm [12] have been extensively articulated to obtain the global optimal solution. The problem has been reduced to a single objective problem by treating the emission as a constraint [13]. This ... See full document

... the genetic algorithm was successfully implemented for scheduling ICT training instructors with a crossover probability parameter (Pc) ...and Genetic Algorithms methods with the selection of the ... See full document

... apply Genetic Algorithms to improve and manage allocation problem ...real problem, genes are the variables that are considered influential in controlling the process being optimized, and a chromosome ... See full document

... Understanding the loop geometry of knitted structures is very important in the study of dimensional and mechanical behavior of knitted fabrics. Leaf [1] proposed the mathematical model of Elastica used for loop ... See full document

... min cost flow problem is a special case of min cost flow problem in which arc capacities are assumed to be ...cycle algorithm which searched for the most negative cycle and subsequently ... See full document

... network cost flow problems which describe a lot of real-life problems have been studied recently in many Operation Research ...quadratic cost flow problems (see ...quadratic cost flow problems are ... See full document

... the cost of an increased computation time per ...converging algorithm for all small enough  ...an algorithm may have both higher rate and higher order of convergence than an alternative and still ... See full document