S
Sumika Chauhan
Researcher at Sant Longowal Institute of Engineering and Technology
Publications - 18
Citations - 283
Sumika Chauhan is an academic researcher from Sant Longowal Institute of Engineering and Technology. The author has contributed to research in topics: Computer science & Evolutionary algorithm. The author has an hindex of 4, co-authored 10 publications receiving 32 citations.
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Bearing defect identification by swarm decomposition considering permutation entropy measure and opposition-based slime mould algorithm
TL;DR: An intelligent defect identification scheme has been proposed to identify the taper roller bearing defects through the extreme learning machine (ELM) model to evaluate the fitness of the built ELM model.
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Cluster Head Selection in Heterogeneous Wireless Sensor Network Using a New Evolutionary Algorithm
TL;DR: Simulation suggested that the proposed algorithm is found to be reliable and outperforms in terms of remaining energy of nodes, alive nodes versus round, dead nodes versus rounds, the lifespan of network, throughput, and stability period, and the state of the art of algorithms.
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Diversity driven multi-parent evolutionary algorithm with adaptive non-uniform mutation
TL;DR: This paper presents a new approach based on an evolutionary algorithm named as Diversity Driven Multi-Parent Evolutionary Algorithm with Adaptive non-unif...
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A symbiosis of arithmetic optimizer with slime mould algorithm for improving global optimization and conventional design problem
TL;DR: An arithmetic optimizer algorithm (AOA) is hybridized with slime mold algorithm (SMA) to address the issue of less internal memory and slow convergence at local minima which is termed as HAOASMA as mentioned in this paper.
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Bearing defect identification via evolutionary algorithm with adaptive wavelet mutation strategy
TL;DR: A novel optimization technique viz 'Diversity driven multi-parent evolutionary algorithm with adaptive wavelet mutation' is proposed to optimize the SVM parameters to increase its efficiency.