[PDF] Top 20 Study of genetic algorithm for optimization problems

... half of the original sequence ...half of the original sequence ...probability of the traditional GA. The performance of the proposed algorithm is com- pared with the traditional GA and ... See full document

... prevention of chatter vibration, adhesion and formation of a built-up ...determination of the stable cutting region was proposed by Narang and Fischer (1993) for multipass turning ... See full document

... range of [1 100]. First, we compare EigenAnt algorithm results with different pheromone removal parameter values of ρ = ...each algorithm for the 10 × 10 RN model until 20000 cost evaluations ... See full document

... finish of an object obtained through additive manufacturing process is highly ...improvement of the surface finish can be considered taking into account factors as the part accuracy, building time, structure ... See full document

... total of 2048 discrete ...set of parameter values. Solving such coding problems is usually considered to be part of the design of the evaluation ...part of the problem ...one ... See full document

... TLBO algorithm, the solution is updated in the teacher phase as well as in the learner ...number of function evaluations in the TLBO algorithm can be computed as (2 × population size × number ... See full document

... members of the population are assigned the highest probability of being selected for ...probability of selection on the basis of either its rank in the sorted population or its ... See full document

... a genetic algorithm with a local search for the single-source uncapacitated minimum cost network flow problem with general concave ...class of problems is known to be NP-Hard and therefore, ... See full document

... The simple question is, which samples should be use for calibration in Equation (4) that minimizes the Equation (6). Many algorithms were proposed for this task. Among several we can to cite the Kennard-Stone (KS), ... See full document

... Genetic Algorithm (GA) is a robust stochastic based search method that can handle the common characteristics of electromagnetics which can not be handled by other optimization techniques like ... See full document

... this study, a multi-parameter design of experiments, using Taguchi method, has been conducted in order to investigate the optimum curing conditions for glass fabric/epoxy laminated composites, followed by a ... See full document

... purpose of this study is to present necessary conditions for calculus of variations problems, where the La- grange function involves a Caputo fractional derivative with nonconstant ...choices ... See full document

... ES algorithm are of good ...Ramm problems the functional value for the ES approximation was better than the linear interpolation over the exact solution, showing that the ES algorithm is ... See full document

... also study the space complexity of the ...idea of [28] is extended by [33] to any robust combinatorial optimization problems with cost uncertainty whose deterministic counterpart can be ... See full document

... amount of machining time in machining processes. Usually 70% of the overall time in machining processes is spent on movements of tools and part (Merchant, ...estimation of hole-making ... See full document

... number of time periods and variable costs are charged for their ...subset of periods of the planning ...capacities of existing facilities and adding some constraints to the subproblems to ... See full document

... Original genetic algorithm assumed a generational approach: selection, recombination and mutation were applied to a population of M chromosomes until a new set of M individuals had been ...an ... See full document

... hybrid optimization based on Genetic algorithm (GA) and Simulated Annealing ...combinatorial optimization problems by only changing an encoder, a decoder, and an evaluation ...many ... See full document

... because of their capacity to find multiple, wide spread, really approximate Pareto optimal solutions simultane- ously in a single simulation ...to problems with more than three objectives the results ... See full document

... matter of migration which are proven to be determinant in the decision making process (Baláž, Williams, & Fifeková, 2014; Dontsov & Zotova, 2013; Van Dalen & Henkens, ...instead of calculating ... See full document