Complexity Avoidance using Biological Resemblance of Modular Multivariable Structure حسب Kouatli, Issam

"…GFT (Genetic Fuzzimetric Technique) is of no exception which merges Fuzzy logic with genetic algorithm to achieve the optimization of the decision making process under uncertainty. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Scheduling and allocation in high-level synthesis using stochastic techniques حسب Sait, Sadiq M.

"…Scheduling and allocation can be formulated as an optimization problem. In this work, a unique approach to scheduling and allocation problem using the genetic algorithm (GA) is described. …"
احصل على النص الكامل

Localization of Damages in Plain And Riveted Aluminium Specimens using Lamb Waves حسب S. Andhale, Yogesh

"…The genetic optimization (GO) method is used to further refine the location of damage within the enclosed area obtained using astroid algorithm. …"
احصل على النص الكامل

Pre-production movie rating prediction using machine learning. (c2017) حسب Gerges, Firas Abdallah

"…In this work, we present several machine learning techniques (Support Vectors Machine, K-Nearest Neighbors, C5, Neural Networks and Case-Based Reasoning) along with a genetic algorithm to predict the success of a movie before its production using the IMDB rating as an indicator of the success. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Improving passenger satisfaction at Kuwait International Airport by using multi-objective optimisation حسب Alsaber, Ahmad

احصل على النص الكامل
احصل على النص الكامل

Using artificial bee colony to optimize software quality estimation models. (c2015) حسب Abou Assi, Tatiana Antoine

"…In order to measure such software quality characteristics, we must wait until the software is implemented, tested and put to use for a certain amount of time. Several software metrics have been proposed in the literature to avoid this long and costly process, and they proved to be a good means of estimating software quality. …"
احصل على النص الكامل
احصل على النص الكامل

Intelligent route to design efficient CO₂ reduction electrocatalysts using ANFIS optimized by GA and PSO حسب Majedeh Gheytanzadeh (17541927)

"…The primary purpose of this study is to establish a new model through machine learning methods; namely, adaptive neuro-fuzzy inference system (ANFIS) combined with particle swarm optimization (PSO) and genetic algorithm (GA) for the prediction of *CO (the key intermediate) adsorption energy as the efficiency metric. …"

A novel network-based SIS framework for improved GA performance حسب Tohme, Rawane

"…Genetic algorithms have long been used to solve complex optimization problems by mimicking natural selection processes. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

A Literature Review on System Dynamics Modeling for Sustainable Management of Water Supply and Demand حسب Khawar Naeem (17984062)

"…The solution approaches included the genetic algorithm (GA), particle swarm optimization (PSO), and the non-dominated sorting genetic algorithm (NSGA-II). …"

Hybridizing rule-based power system stabilizers with geneticalgorithms حسب Abido, M.A.

"…The proposed approach uses genetic algorithms (GA) to search for optimal settings of rule-based power system stabilizer (RBPSS) parameters. …"
احصل على النص الكامل
احصل على النص الكامل

DNA Base-Calling Techniques حسب Odeh, Fadi

احصل على النص الكامل

Tuning of AGC of interconnected reheat thermal systems with geneticalgorithms حسب Abdel-Magid, Y.L.

"…A digital simulation is used in conjunction with the genetic algorithm optimization process. …"
احصل على النص الكامل
احصل على النص الكامل

Software tool for regression testing. (c1997) حسب Araby, Nidal H.

احصل على النص الكامل
احصل على النص الكامل

Energy removal in dynamical systems through an optimal sequence of constraint application حسب Issa, Jimmy

"…In this paper several optimization formulations are suggested, whereby maximum energy removal is achieved by selecting optimal strategies that identify where and when the constraints should be applied. The optimization process is illustrated by means of simple mass-spring and membrane systems and the corresponding problems are solved using a genetic algorithm.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Reliability and fault tolerance based topological optimization of computer networks - part II: iterative techniques حسب Abd-El-Barr, Mostafa

احصل على النص الكامل
احصل على النص الكامل

Inferential sensing techniques in industrial applications حسب Shakil,, Muhammad

"…System delays are obtained by approximating the model by a linear model. Genetic algorithm, which is a heuristic optimization technique, is used to ¯nd the system delays of the linear model, which are used in dynamical neural network model. …"
احصل على النص الكامل

Recent advances on artificial intelligence and learning techniques in cognitive radio networks حسب Abbas, Nadine

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators حسب Abu Zitar, Raed

"…Datasets with such characteristics pose a challenge to machine learning algorithms. This is because they impede the training and testing process and entail high resource computations that deteriorate the classification performance. …"
احصل على النص الكامل

Dynamic single node failure recovery in distributed storage systems حسب Itani, M.

"…We selected fractional repetition coding due to its simple repair mechanism that minimizes the repair and disk access bandwidths together with the property of un-coded repair process. To minimize the system repair cost, we formulate our problem using incidence matrices and solve it heuristically using genetic algorithms for all possible cases of single node failures. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Gene Selection for Microarray Data Classification based on Grey Wolf Optimizer Enhanced with TRIZ-inspired Operators حسب Abou Doush, Iyad

"…Datasets with such characteristics pose a challenge to machine learning algorithms. This is because they impede the training and testing process and entail high resource computations that deteriorate the classification performance. …"
احصل على النص الكامل
احصل على النص الكامل