[PDF] Top 20 A multiple mitosis genetic algorithm

... the algorithm by providing an effective balance between diversity of the possible solutions and crossover ...(Dynamic Genetic Clustering Algorithm) to reduce the effect of premature convergence ... See full document

... a genetic algorithm using a weighted least-squares tions of the two QTL we are fitting (two ga-genes are method to search for two interacting QTL in a cross used to represent the chromosome numbers and two ... See full document

... Even though the MBER detector of [7] is capable of maintain- ing a good performance, the convergence of the algorithm is sensitive to the choice of the algorithm’s parameters. For ex- ample, the choice of the ... See full document

... The Crossover operator employed in the proposed GA is just like the operator employed by Kratica and Stanimirovic (2006). Here, the operator is elaborated in detail. Generally, crossover operator executes a swap between ... See full document

... DOI: 10.4236/ojogas.2017.24017 215 Open Journal of Yangtze Gas and Oil wells in an oil field to optimally deplete the reservoir. Knowledge of this key concept is a necessary requirement to effectively utilize the ... See full document

... The Genetic Algorithm comes out to be efficient in terms of the sequence length and accuracy when compared to other heuristics explained ...the Genetic Algorithm by combining Hill Climbing in ... See full document

... Shuai et al. (2013)[19] proposed an operator called two- part chromosome crossover (TCX) operator for solving the multiple travelling salesmen problem (MTSP) using a genetic algorithm (GA) for ... See full document

... Chromosome can be represented in various ways. The main goal of Multiple Sequence Alignment is to insert gaps in proper places so that the maximum fitness can be achieved. Suppose we have n number of sequences ... See full document

... is Multiple-Population Genetic Algorithm (MPGA) and the advantages of the research is using the MPGA to improve reliability of power system distribution network and optimization method used to seek ... See full document

... and multiple faults, as known many research has been carried out to generate test pattern set that detect MSA faults, here the proposed ATPG method makes use of test patterns of single stuck at faults to identify ... See full document

... The algorithm accepts five input parameters: The dataset reference D specifies the dataset to be cleaned and the key attribute or key attribute combination K defines the ... See full document

... a genetic algorithm for the stochastic multi-mode resource-constrained project scheduling problem (SMRCPSP), in which multiple execution modes are available for each of the activities of the ... See full document

... Using Genetic Algorithm (MURUGA), which incorporates multiple constraints required by multimedia applications to find the feasible path satisfying the constraint requirement has been ...satisfies ... See full document

... multiobjective genetic algorithm (MOGA) for the problem of optimal television (TV) advertising campaign generation for multiple ...encoding, genetic op- erators, and original local ... See full document

... Much work has been developed about the data placement in distributed system and they can be divided into two types in general: static data placement and dynamic data placement. Most static data placement algorithms ... See full document

... In this paper, the measurement method of the grounding resistance of the transmission line tower is studied, and the grounding resistance of the tower is measured without any disconnection. The method has obvious ... See full document

... graphs where nodes denote subunits and the edges specify a pairwise transformation between subunits, which are computed in the pairwise docking stage. At the beginning of the second stage, a configurable number of random ... See full document

... circuit. Multiple bit upset (MBU) can occur when a single charged particle traveling through the IC at a narrow angle, nearly parallel to the surface of the die, concurrently attacks two sensitive junctions by ... See full document

... Firefly Algorithm as a metaheuristic optimization technique to optimize the parameters of different effort estimation ...estimation algorithm on business processes which is applicable to development ... See full document

... a multiple population genetic algorithm (MPGA) is proposed to solve the problem of optimal load dis- patch of gas turbine generation ...introducing multiple populations on the basis of ... See full document