Hybrid intelligence strategy for techno-economic reactive power dispatch approach to ensure system security
This work consolidates chaotic maps into a contemporary heuristic approach called Chimp
Optimization Algorithm (COA). Augmentation of ten chaotic maps to COA forms the hybrid …
Optimization Algorithm (COA). Augmentation of ten chaotic maps to COA forms the hybrid …
[HTML][HTML] Impact of chaotic dynamics on the performance of metaheuristic optimization algorithms: An experimental analysis
Random mechanisms including mutations are an internal part of evolutionary algorithms,
which are based on the fundamental ideas of Darwin's theory of evolution as well as …
which are based on the fundamental ideas of Darwin's theory of evolution as well as …
EEDCHS-PSO: energy-efficient dynamic cluster head selection with differential evolution and particle swarm optimization for wireless sensor networks (WSNS)
The communication subsystem in WSNs is primarily responsible for energy consumption
which becomes a consistent in the networks owing to the usage of non-rechargeable battery …
which becomes a consistent in the networks owing to the usage of non-rechargeable battery …
Enhancing power system security by chaotic hybrid intelligence strategy for reactive power dispatch
The research work presents the integration of ten chaotic maps into a contemporary
approach called Chimp Optimization Algorithm (COA) promoting solution in search space …
approach called Chimp Optimization Algorithm (COA) promoting solution in search space …
Particle swarm optimization based metamaterial inspired circularly polarized patch antenna for S band applications
C Arora, SS Pattnaik - Evolutionary Intelligence, 2021 - Springer
Abstract In this paper Particle Swarm Optimization technique (PSO) has been used to design
a metamaterial inspired circularly polarised patch antenna with truncated corners and …
a metamaterial inspired circularly polarised patch antenna with truncated corners and …
Feature subset selection for big data via Chaotic Binary Differential Evolution under Apache Spark
Feature subset selection (FSS) using a wrapper approach is essentially a combinatorial
optimization problem having two objective functions namely cardinality of the selected …
optimization problem having two objective functions namely cardinality of the selected …
Design and Implementation of Fraud Detection-Decision Support System Framework
V Khattri, S Kumar Nayak, D Kumar Singh… - … and Mitigation of …, 2024 - Springer
The growth of digital technology with information and communication technology is on the
rise. Similarly, the rise of fraudulent online payment transactions with plastic money card …
rise. Similarly, the rise of fraudulent online payment transactions with plastic money card …
Evaluating the Effects of Chaos in Variable Neighbourhood Search
Metaheuristics are problem-solving methods which try to find near-optimal solutions to very
hard optimization problems within an acceptable computational timeframe, where classical …
hard optimization problems within an acceptable computational timeframe, where classical …
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S Consoli¹, JAM Pérez - … , MIC 2022, Syracuse, Italy, July 11–14 …, 2023 - books.google.com
Metaheuristics are problem-solving methods which try to find near-optimal solutions to very
hard optimization problems within an acceptable computational timeframe, where classical …
hard optimization problems within an acceptable computational timeframe, where classical …
Feature Subset Selection for Big Data Via Parallel Chaotic Binary Differential Evolution Island Model Under Apache Spark
Y Vivek, DR Vadlamani, P Radha Krishna - Available at SSRN 4133444 - papers.ssrn.com
Feature subset selection (FSS) using a wrapper approach is essentially a combinatorial
optimization problem having two objective functions viz.,(i) the cardinality of the selected …
optimization problem having two objective functions viz.,(i) the cardinality of the selected …