[PDF] Top 20 Optimization of Soil Sampling Design Based on Road Networks – A Simulated Annealing/Neural Network Algorithm

... artificial neural network (ANN) types for non-linear function approximation task which learns the pattern of data by several layers with connected perceptrons ...learning algorithm is the Momentum ... See full document

... training neural networks are based on local search, population methods, and others such as cooperative coevolutionary models ...Colony Optimization (ACO) methodology to identify ANN and PSO ... See full document

... of design regards and a solution method that breaks down the WMN planning problem into four 'more manageable' ...and optimization samples based on linear ...minimize network installation costs ... See full document

... proposed algorithm of the discrete CSLP examples, also SA was as capable as other meta-heuristics of solving the combinatorial optimization problems like CSLP problem, while the hardware properties and ... See full document

... portfolio optimization problem with floor, ceiling, and cardinality ...traditional optimization methods fail to find the optimal solution, ...approach based on an improved particle swarm ... See full document

... Simulated annealing (SA) [4] is an optimization tool which has successful applications in a wide range of com- binatorial optimization ...SA algorithm when the objective function is ... See full document

... dynamic algorithm for accurate scope of the SPZ based on structural damage identification has rarely been ...fuzzy neural network (FNN) damage ... See full document

... ehicle routing problem is first introduced by Dantzig and Ramser[10].The vehicle routing problem represents the cornerstone of optimization for distribution networks. VRP is considered as one of the most ... See full document

... combinatorial optimization studied in theory based computer science and operation research ...a network architect who is trying to design the most efficient ring topology that will connect a ... See full document

... a simulated an- nealing algorithm will converge to global optimal solu- tion at a probability of 1, but it is far from the reality [9], it is greatly related to the actual problem ... See full document

... genetic algorithm (GA) is a me- thod inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms ...to optimization and search problems by relying on ... See full document

... sensor network can be defined as a weighted undirected graph G (V, E), Where, V is the set of sensor nodes and E is the set of links between these nodes ...sensor network, each node has a collection of ... See full document

... List heuristic and meta-heuristic for task scheduling for multicore system has been widely researched. For list scheduling, [8] proposes a communication-aware list scheduling algorithm for the NoC-based ... See full document

... All the parameter values have been also determined after a set of tests to find the balance between the quality of solutions and the running time. For example, to obtain a proper range of values for the population size ... See full document

... genetic algorithm to solve quadratic assignment ...genetic algorithm to solve the set partitioning ...genetic algorithm components such as fitness definition, parent selection and population ... See full document

... Design and development of a parabolic leaf spring is a long and time taking process which requires number of experiment to validate the design variables. We have used CAE to shorten this development thereby ... See full document

... An experimental investigation was carried out by Davim et al. [10] on machining of brass under different condition of lubricant environments. The investigation on the effects of air-oil mixture application on cutting ... See full document

... Metropolis-Hastings algorithm (see [Hastings (1970)]) are: (1) there is no need to introduce a proposal distribution (uniform in case of random walk) for the exploration of the admissible space, (2) a damping can ... See full document

... is based on path coverage testing ...Request algorithm using Ant Colony Optimization algorithm (ACO) and ...request algorithm is deadlock avoidance algorithm used for resource ... See full document

... the network updates its routing table with the information related to residual energy and distance from ...the simulated annealing technique to improve the back propagation method for training of ... See full document