Ashish Mani

Orcid: 0000-0002-2312-1185

Affiliations:
  • Amity University, Amity School of Engineering and Technology, Department of EEE, Noida, India


According to our database1, Ashish Mani authored at least 31 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Distributed Energy Resources Based Two-Layer Delay-Independent Voltage Coordinated Control in Active Distribution Network.
IEEE Trans. Ind. Informatics, February, 2024

Quantum Inspired Chaotic Salp Swarm Optimization for Dynamic Optimization.
CoRR, 2024

2023
Distributed secure consensus control of nonlinear multi-agent systems under sensor and actuator attacks.
J. Frankl. Inst., 2023

Sampling technique for noisy and borderline examples problem in imbalanced classification.
Appl. Soft Comput., 2023

2022
An adaptive mutation strategy for differential evolution algorithm based on particle swarm optimization.
Evol. Intell., 2022

Decomposition Based Quantum Inspired Salp Swarm Algorithm for Multiobjective Optimization.
IEEE Access, 2022

Rethinking of controller placement problem from static optimization to multi-objective dynamic optimization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
CoV2-Detect-Net: Design of COVID-19 prediction model based on hybrid DE-PSO with SVM using chest X-ray images.
Inf. Sci., 2021

2020
An investigation on support vector clustering for big data in quantum paradigm.
Quantum Inf. Process., 2020

DEPSOSVM: variant of differential evolution based on PSO for image and text data classification.
Int. J. Intell. Comput. Cybern., 2020

Parts of Speech Tagging in NLP: Runtime Optimization with Quantum Formulation and ZX Calculus.
CoRR, 2020

Feature Selection Approach Based on a Novel Variant of Hybrid Differential Evolution and PSO for Sentiment Classification.
Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), 2020

Towards realistic mimicking of grey wolves hunting process for bounded single objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Network architecture for demand response implementation in smart grid.
Int. J. Syst. Assur. Eng. Manag., 2019

An Investigation of Quantum Deep Clustering Framework with Quantum Deep SVM & Convolutional Neural Network Feature Extractor.
CoRR, 2019

Towards a Framework for Performance Testing of Metaheuristics.
Proceedings of the Intelligence Enabled Research, 2019

2018
An all-pair quantum SVM approach for big data multiclass classification.
Quantum Inf. Process., 2018

Big Data Quantum Support Vector Clustering.
CoRR, 2018

Efficient Clear Air Turbulence Avoidance Algorithms using IoT for Commercial Aviation.
CoRR, 2018

2017
Gaussian Kernel in Quantum Paradigm.
CoRR, 2017

An All-Pair Approach for Big Data Multiclass Classification with Quantum SVM.
CoRR, 2017

2016
Solving Combinatorial Optimization problems with Quantum inspired Evolutionary Algorithm Tuned using a Novel Heuristic Method.
CoRR, 2016

2014
Effect of Population Structures on Quantum-Inspired Evolutionary Algorithm.
Appl. Comput. Intell. Soft Comput., 2014

2012
A Fast fixed-point Quantum Search Algorithm by using Disentanglement and Measurement
CoRR, 2012

Taguchi-Based Tuning of Rotation Angles and Population Size in Quantum-Inspired Evolutionary Algorithm for Solving MMDP.
Proceedings of the Second International Conference on Soft Computing for Problem Solving, 2012

An evaluation of cellular population model for improving quantum-inspired evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
A Fast Measurement based fixed-point Quantum Search Algorithm
CoRR, 2011

Some Investigations for Solving Constrained Optimization Problems using Adiabatic Quantum Computation.
Proceedings of the Eighth International Conference on Information Technology: New Generations, 2011

2010
A hybrid quantum evolutionary algorithm for solving engineering optimization problems.
Int. J. Hybrid Intell. Syst., 2010

2009
Is Stochastic Ranking Really better than Feasibility Rules for Constraint Handling in Evolutionary Algorithms?
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

A novel hybrid constraint handling technique for evolutionary optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009


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