Genetic Algorithm
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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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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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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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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Portfolio Selection Using Genetic Algorithm
... Genetic algorithm has been successfully applied to different portfolio ...the genetic algorithm in optimizing the stock ...tree genetic algorithm that was used for the ...
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Using a Genetic Algorithm to Produce Slogans
... The proposed slogan generation method works and could be potentially useful for brainstorming. It produces slo- gans solely from the textual description of the target en- tity. No other user specifications are needed. ...
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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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A Genetic Algorithm Approach to CPU Scheduling
... general algorithm (genetic algorithm based) for obtaining optimal or near optimal schedules for Single Processor Scheduling Problems with minimum computation effort even for large sized ...The ...
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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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Algorithm of construction of Optimum Portfolio of stocks using Genetic Algorithm
... above genetic evolution in constructing an optimum portfolio of stocks selected from a large pool of stocks listed in the single market ...of genetic algorithm on the issue of optimization of weights ...
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Optimization Algorithm of Fireworks Explosion Based on Genetic Algorithm
... an algorithm combining FA and differential evolution ...the algorithm is unique in controlling the scope of explosion radius, the method of generating sparks in fireworks explosion and the method of ...
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Watermarking Algorithm based using Genetic Algorithm and HVS
... watermarking algorithm is proposed using Genetic algorithm and discrete wavelet ...The algorithm proposed is to improve both robustness and fidelity of the watermarked ...
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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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Comparison of Adaptive Mutation Genetic Algorithm and Genetic Algorithm for Transmit Antenna Subset Selection in MIMO OFDM
... antennas. Hence, with the aid of the proposed technique for transmit antenna subset selection; a good system capacity with reduced hardware complexity with good ergodic capacity and undisturbed data rate is accomplished ...
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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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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 Optimisation for Finance and Investments
... The steps involved in implementing one run or trial of a genetic algorithm are outlined in Table 1. The first step, referred to as problem representation, involves representing potential solutions to the ...
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Use of Genetic Algorithm in Network Security
... a Genetic Algorithm Based Approach to Network Intrusion Detection ...(IDS), genetic algorithm (GA) applied to a network intrusion detection ...using Genetic Algorithms. This paper ...
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TIMETABLE SCHEDULING USING GENETIC ALGORITHM
... Using Genetic algorithm, which revolves around the process of natural selection, we optimize this problem by choosing the best solution among the ...
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Use of Genetic Algorithm in Quality Measurement
... Assigning access specifier is not an easy task as it decides over all security of any software Though there are many metrics tools available in a market to measure the security at early stage. But in this case ...
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