Results 21 to 30 of about 240,959 (297)
Comparative analysis of genetic crossover operators in knapsack problem
Journal of Applied Sciences and Environmental Management, 2016 The Genetic Algorithm (GA) is an evolutionary algorithms and technique based on natural selections of individuals called chromosomes. In this paper, a method for solving Knapsack problem via GA (Genetic Algorithm) is presented. We compared six different
D Hakimi +3 more
doaj +1 more source
GA/SA-based hybrid techniques for the scheduling of generator maintenance in power systems [PDF]
, 2000 YesProposes the application of a genetic algorithm (GA) and simulated annealing (SA) based hybrid approach for the scheduling of generator maintenance in power systems using an integer representation.
Burt, G.M. +3 more
core +1 more source
An improved genetic algorithm for optimizing ensemble empirical mode decomposition method
Systems Science & Control Engineering, 2019 This paper proposes an improved ensemble empirical mode decomposition method based on genetic algorithm to solve the mode mixing problem in empirical mode decomposition (EMD) algorithm as well as the parameters selection issue in ensemble empirical mode ...
Dabin Zhang +3 more
doaj +1 more source
Validation of a Dynamic Planning Navigation Strategy Applied to Mobile Terrestrial Robots
Sensors, 2018 This work describes the performance of a DPNA-GA (Dynamic Planning Navigation Algorithm optimized with Genetic Algorithm) algorithm applied to autonomous navigation in unknown static and dynamic terrestrial environments.
Caroline A. D. Silva +2 more
doaj +1 more source
World Electric Vehicle JournalThis study utilizes a brain—computer interface (BCI)—based deep neural network (DNN) and genetic algorithm (GA) method. This research explores the interaction design of the main control human-machine interaction interfaces (HMIs) for intelligent electric
Xinmin Jin, Jian Teng, Shaw-mung Lee
doaj +1 more source
Performance Enhancement of Data Classification using Selectively Cloned Genetic Algorithm for Neural Network [PDF]
International Journal of Computational Intelligence Systems, 2010 The paper demonstrates performance enhancement using selective cloning on evolutionary neural network over the conventional genetic algorithm and neural back propagation algorithm for data classification.
Devinder Kaur, Praneeth Nelapati
doaj +1 more source
Optimized Video Steganography Using Genetic Algorithm (GA)
Procedia Technology, 2013 AbstractThis paper proposes a novel video steganography scheme for efficient and effective information hiding. In this era of Internet communication video is considered to be an effective and important tool for communication. Video steganography uses video as cover media for embedding secret data.
Dasgupta, Kousik +2 more
openaire +1 more source
Prediction of Urban Scale Expansion Based on Genetic Algorithm Optimized Neural Network Model
Journal of Function Spaces, 2022 With the continuous development of urbanization, the urban population is becoming more and more dense, and the demand for land is becoming more and more tense. Urban expansion has become an indispensable part of urban development.
Hewu Kuang
doaj +1 more source
A Mixed Algorithm for Integrated Scheduling Optimization in AS/RS and Hybrid Flowshop
Energies, 2022 The integrated scheduling problem in automated storage and retrieval systems (AS/RS) and the hybrid flowshop is critical for the realization of lean logistics and just-in-time distribution in manufacturing systems.
Jiansha Lu +3 more
doaj +1 more source
Mining Frequent Itemsets Using Genetic Algorithm
, 2010 In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm etc., which take too much computer time to compute all the frequent ...
Biswas, Sushanta +3 more
core +2 more sources