A novel hybrid constraint handling technique for evolutionary optimization. - Ashish Mani; C. Patvardhan 001 (IEEE Congress on Evolutionary Computation, 2009)

Is Stochastic Ranking Really better than Feasibility Rules for Constraint Handling in Evolutionary Algorithms? - Sulabh Bansal; Ashish Mani; Chellapilla Patvardhan (NaBIC, 2009)

A hybrid quantum evolutionary algorithm for solving engineering optimization problems. - Ashish Mani; Chellapilla Patvardhan (Int. J. Hybrid Intell. Syst., 2010)

Some Investigations for Solving Constrained Optimization Problems using Adiabatic Quantum Computation. - Ashish Mani; Chellapilla Patvardhan (ITNG, 2011)

A Fast Measurement based fixed-point Quantum Search Algorithm - Ashish Mani; Chellapilla Patvardhan (CoRR, 2011)

An evaluation of cellular population model for improving quantum-inspired evolutionary algorithm. - Nija Mani; Gursaran Srivastava; Arun Kumar Sinha; Ashish Mani (GECCO (Companion), 2012)

Taguchi-Based Tuning of Rotation Angles and Population Size in Quantum-Inspired Evolutionary Algorithm for Solving MMDP. - Nija Mani; Gursaran; A. K. Sinha; Ashish Mani (SocProS, 2012)

A Fast fixed-point Quantum Search Algorithm by using Disentanglement and Measurement - Ashish Mani; C. Patvardhan 001 (CoRR, 2012)

Effect of Population Structures on Quantum-Inspired Evolutionary Algorithm. - Nija Mani; Gursaran Srivastava; A. K. Sinha; Ashish Mani (Appl. Comput. Intell. Soft Comput., 2014)

Solving Combinatorial Optimization problems with Quantum inspired Evolutionary Algorithm Tuned using a Novel Heuristic Method. - Nija Mani; Gursaran; Ashish Mani (CoRR, 2016)

An All-Pair Approach for Big Data Multiclass Classification with Quantum SVM. - Arit Kumar Bishwas; Ashish Mani; Vasile Palade (CoRR, 2017)

Gaussian Kernel in Quantum Paradigm. - Arit Kumar Bishwas; Ashish Mani; Vasile Palade (CoRR, 2017)

Efficient Clear Air Turbulence Avoidance Algorithms using IoT for Commercial Aviation. - Amlan Chatterjee; Hugo Flores; Bin Tang; Ashish Mani; Khondker S. Hasan (CoRR, 2018)

Big Data Quantum Support Vector Clustering. - Arit Kumar Bishwas; Ashish Mani; Vasile Palade (CoRR, 2018)

An all-pair quantum SVM approach for big data multiclass classification. - Arit Kumar Bishwas; Ashish Mani; Vasile Palade (Quantum Inf. Process., 2018)

Towards a Framework for Performance Testing of Metaheuristics. - Ashish Mani; Nija Mani; Siddhartha Bhattacharyya (DoSIER, 2019)

An Investigation of Quantum Deep Clustering Framework with Quantum Deep SVM & Convolutional Neural Network Feature Extractor. - Arit Kumar Bishwas; Ashish Mani; Vasile Palade (CoRR, 2019)

Network architecture for demand response implementation in smart grid. - Anjali Jain; Ashish Mani; Anwar Shahzad Siddiqui (Int. J. Syst. Assur. Eng. Manag., 2019)

Towards realistic mimicking of grey wolves hunting process for bounded single objective optimization. - Ashish Mani; Anjali Jain (CEC, 2020)

Feature Selection Approach Based on a Novel Variant of Hybrid Differential Evolution and PSO for Sentiment Classification. - Abhishek Dixit 001; Ashish Mani; Rohit Bansal (SoCPaR, 2020)

Parts of Speech Tagging in NLP: Runtime Optimization with Quantum Formulation and ZX Calculus. - Arit Kumar Bishwas; Ashish Mani; Vasile Palade (CoRR, 2020)

DEPSOSVM: variant of differential evolution based on PSO for image and text data classification. - Abhishek Dixit 001; Ashish Mani; Rohit Bansal (Int. J. Intell. Comput. Cybern., 2020)

An investigation on support vector clustering for big data in quantum paradigm. - Arit Kumar Bishwas; Ashish Mani; Vasile Palade (Quantum Inf. Process., 2020)

CoV2-Detect-Net: Design of COVID-19 prediction model based on hybrid DE-PSO with SVM using chest X-ray images. - Abhishek Dixit 001; Ashish Mani; Rohit Bansal (Inf. Sci., 2021)

Rethinking of controller placement problem from static optimization to multi-objective dynamic optimization. - Sanjai Pathak; Ashish Mani; Mayank Sharma; Amlan Chatterjee (GECCO Companion, 2022)

Decomposition Based Quantum Inspired Salp Swarm Algorithm for Multiobjective Optimization. - Sanjai Pathak; Ashish Mani; Mayank Sharma; Amlan Chatterjee (IEEE Access, 2022)

An adaptive mutation strategy for differential evolution algorithm based on particle swarm optimization. - Abhishek Dixit 001; Ashish Mani; Rohit Bansal (Evol. Intell., 2022)

GeometricSMOTE-Enhanced Deep Gaussian Mixture Models for Imbalanced Data Classification. - Abhishek Dixit 001; Ashish Mani (CVMI, 2023)

Sampling technique for noisy and borderline examples problem in imbalanced classification. - Abhishek Dixit 001; Ashish Mani (Appl. Soft Comput., 2023)

Distributed secure consensus control of nonlinear multi-agent systems under sensor and actuator attacks. - Sergey Gorbachev; Yang Yang 052; Qidong Liu 003; Jingzhi Ge; Dong Yue 001; Ashish Mani; Dmytro Shevchuk (J. Frankl. Inst., 2023)

Towards Quantum-inspired Evolutionary Algorithms for Denoising PCG Signals. - Lubna Siddiqui; Ashish Mani; Jaspal Singh (ICSPIS, 2024)

A Cooperative Hybrid Quantum-Inspired Salp Swarm and Differential Evolution for Solving CEC 2022 Benchmark and Controller Placement Problems in Software Defined Networks. - Sanjai Pathak; Ashish Mani; Amlan Chatterjee (IEEE Access, 2024)

Quantum Inspired Chaotic Salp Swarm Optimization for Dynamic Optimization. - Sanjai Pathak; Ashish Mani; Mayank Sharma; Amlan Chatterjee (Comput. Sci., 2024)

Distributed Energy Resources Based Two-Layer Delay-Independent Voltage Coordinated Control in Active Distribution Network. - Sergey Gorbachev; Ashish Mani; Li Li; Long Li; Yudi Zhang 004 (IEEE Trans. Ind. Informatics, 2024)

Evolutionary Algorithm for the Traveling Salesman Problem With Innovative Encoding on Hybrid Quantum-Classical Machines. - Ravi Saini; Ashish Mani; M. S. Prasad; Siddhartha Bhattacharyya; Jan Platos (IEEE Access, 2025)

Adaptive Quantum-Inspired Evolution for Denoising PCG Signals in Unseen Noise Conditions. - Lubna Siddiqui; Ashish Mani; Jaspal Singh (IEEE Access, 2025)

Implementation of distributed energy resources along with Network Reconfiguration for cost-benefit analysis. - G. Manikanta; Ashish Mani; Anjali Jain; Ramya Kuppusamy; Yuvaraja Teekaraman (Sustain. Comput. Informatics Syst., 2025)