Genetic Algorithm (GA)
Genetic Algorithm and Hybrid Genetic Algorithm for Space Allocation Problems A Review
... Hybrid GA (HGA) is an enhanced version of genetic algorithm. In [16] hybrid GA is proposed with particle swarm optimization (PSO) effect for solving combinatorial optimization. Simple GA (SGA) and hybrid GA ...
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Portfolio Selection Using Genetic Algorithm
... of genetic algorithm (GA) to obtain an optimal portfolio ...this algorithm towards the optimal solution such as ...of genetic algorithm method, GA method can also be used however for a ...
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Genetic Algorithm for Localization in WSN
... Genetic algorithm is used natural selection process for ...This algorithm is an optimization problem based loosely on the Drawinian principle of biological evolution, reproduction and “The survival ...
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Hardware/Software Partitioning Algorithm Based on Genetic Algorithm
... scheduling algorithm was used to determine system performance, as a result, execution time and power consumption were reduced ...Sorting Genetic Algorithm (ANSGA), by introducing a removing method ...
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IMPLEMENTATION OF AN OPTIMIZATION TECHNIQUE: GENETIC ALGORITHM
... like Genetic algorithm (GA) and Differential evolution (DE) attempt to carry out the phenomenon of natural evolution ...about Genetic Algorithm this is a meta-heuristic algorithm ...
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Genetic Algorithm Assisted Adaptive Beamforming
... In this paper, a Genetic Algorithm (GA) is developed for solv- ing the beamforming weight optimisation problem. The concept of a GA is based on optimisation search strategies relying on the Darwinian ...
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GENETIC ALGORITHM FOR MOTION ESTIMATION
... The genetic algorithm is a family of computational models inspired by evolution and is used to find true or approximate solutions to optimization ...problem. Genetic algorithms are a class of ...
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The Genetic Algorithm based Recommender Systems
... Genetic algorithm (GA), first proposed by John Holland [1975], are nature-inspired optimization strategy that can be advantageously used for several optimization ...problems. Genetic algorithm ...
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Optimization Procedure by Using Genetic Algorithm
... belong to class of productive systems in which the main characteristic is the simultaneous execution of several processes and sharing a finite set of resource. Nowadays, the FMS must attend the demand of the market needs ...
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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 ...
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Self Organizing Genetic Algorithm: A Survey
... self-organizing genetic algorithm applied to solve multiple sequence alignment (SOGA-MSA) undergoes a self-organizing crossover operation by selecting an appropriate rate or a point and a self-organizing ...
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An effective genetic algorithm for network coding
... As a relatively new information theory, network coding has already demonstrated a significant influence on many research areas such as communication systems, network protocol, wireless networks, and network security. The ...
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Genetic Algorithm based Image Cryptography
... GA concept is inspired by Darwin's theory of evolution [3]. He explained regarding the concept of natural selection that the slight variation in the trait helps the individuals to adapt to their environment and produce ...
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Binary Affinity Genetic Algorithm
... Inspired by the first and second phenomena, the population in the GA is adaptively updated from time to time when it “crowds”. This will make the searching engine energetic. Otherwise, stagnation may occur. Inspired by ...
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Genetic Algorithm: Reviews, Implementations, and Applications
... Abstract—Nowadays genetic algorithm (GA) is greatly used in engineering ped- agogy as an adaptive technique to learn and solve complex problems and ...This algorithm is derived from natural se- ...
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An Overview of Genetic Algorithm, Bacterial Foraging Algorithm, and Harmony Search Algorithm
... include genetic algorithm (GA), neural network (NN), tabu search (TS), simulated annealing (SA), ant colony optimization (ACO), particle swarm optimization (PSO), Bacteri- al foraging algorithm ...
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Comparison of Adaptive Mutation Genetic Algorithm and Genetic Algorithm for Transmit Antenna Subset Selection in MIMO OFDM
... Multiple input multiple output techniques are considered attractive for future wireless communication systems, due to the continuing demand for high data rates, spectral efficiency, suppress interference ability and ...
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Optimization Algorithm of Fireworks Explosion Based on Genetic Algorithm
... the genetic algorithm based on the fireworks algorithm optimization effect is ...fireworks algorithm, the improved explosion radius fireworks algorithm, the fireworks algorithm ...
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Enhanced Heuristic Teaching Timetabling Algorithm Using Genetic Algorithm
... the genetic algorithm to find solutions to teaching timetabling ...The algorithm employs a greedy hill-climbing mutation operator for regeneration ...The algorithm has been used to solve ...
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Watermarking Algorithm based using Genetic Algorithm and HVS
... Genetic Algorithm is a search‟s technique that simulates natural process [11, 12] and generates best solution for all possible ...the algorithm is increased and vice ...
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