Results 31 to 40 of about 13,578 (255)
Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization framework [PDF]
, 2018 Simplicity and flexibility of meta-heuristic optimization algorithms have attracted lots of attention in the field of optimization. Different optimization methods, however, hold algorithm-specific strengths and limitations, and selecting the best ...
AghaKouchak, A +7 more
core +1 more source
JPEG steganography with particle swarm optimization accelerated by AVX [PDF]
, 2020 Digital steganography aims at hiding secret messages in digital data transmitted over insecure channels. The JPEG format is prevalent in digital communication, and images are often used as cover objects in digital steganography.
Bramas B +7 more
core +1 more source
A novel hybrid GWO-SCA approach for optimization problems
Engineering Science and Technology, an International Journal, 2017 Recent trend of research is to hybridize two and several number of variants to find out better quality of solution of practical and recent real applications in the field of global optimization problems.
N. Singh, S.B. Singh
doaj +1 more source
GWO-based estimation of input-output parameters of thermal power plants [PDF]
, 2020 The fuel cost curve of thermal generators was very important in the calculation of economic dispatch and optimal power flow. Temperature and aging could make changes to fuel cost curve so curve estimation need to be done periodically. The accuracy of the
Ari Nrartha, I Made +2 more
core +3 more sources
Modified Grey Wolf Optimizer for Global Engineering Optimization [PDF]
Applied Computational Intelligence and Soft Computing, 2016 Nature-inspired algorithms are becoming popular among researchers due to their simplicity and flexibility. The nature-inspired metaheuristic algorithms are analysed in terms of their key features like their diversity and adaptation, exploration and exploitation, and attractions and diffusion mechanisms.
Nitin Mittal +2 more
openaire +2 more sources
Stereoselective Biotransformation: Transfer of Learning to Advance Drug Metabolism and Biocatalysis
Angewandte Chemie, EarlyView.Understanding stereoselective biotransformations has implications for predicting drug disposition and response and may also inspire novel biocatalytic and biomimetic strategies to address challenges in metabolite and API synthesis. ABSTRACT Chirality is an important determinant of drug action, as enantiomers can exhibit markedly different ...
Grace A. Okunlola, Godwin A. Aleku
wiley +2 more sources
Improving Phishing Detection with the Grey Wolf Optimizer
2022 International Conference on Electronics, Information, and Communication (ICEIC), 2022 With the recent epidemic of COVID-19-themed scam and phishing, the efficient automated detection of such attacks is crucial. Although many anti-phishing solutions, such as lists and similarity and heuristic-based approaches detect attacks, methods still can be improved. Classification accuracy is highly dependent on the feature selection method used to
Aws Naser Jaber +2 more
openaire +2 more sources
The costs of uncoordinated infrastructure management in multi-reservoir river basins [PDF]
, 2014 Though there are surprisingly few estimates of the economic benefits of coordinated infrastructure development and operations in international river basins, there is a widespread belief that improved cooperation is beneficial for managing water scarcity ...
Baker, Justin +3 more
core +1 more source
Jurnal Nasional Teknik Elektro, 2017 Optimal reactive power dispatch has a purpose to achieve secure and economic operation of power system by regulating reactive power allocation in electric power system, such as regulating generators voltage, capacity of shunt capacitors and tap position
Osea Zebua, I Made Ginarsa
doaj +1 more source
The SOS Platform: Designing, Tuning and Statistically Benchmarking Optimisation Algorithms [PDF]
, 2020 open access articleWe present Stochastic Optimisation Software (SOS), a Java platform facilitating the algorithmic design process and the evaluation of metaheuristic optimisation algorithms.
Caraffini, Fabio, Iacca, Giovani
core +1 more source