Ravneil Nand

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 16

Top Topics

Global Optimization

Firefly Algorithm

Examination Timetabling

Top Venues

Publications

Ravneil Nand, Kaylash Chaudhary, Bibhya Sharma
Single Depot Multiple Travelling Salesman Problem Solved With Preference-Based Stepping Ahead Firefly Algorithm. IEEE Access 12 (2024)
Ravneil Nand, Emmenual Reddy, Kaylash Chaudhary, Bibhya Sharma
Preference-Based Stepping Ahead Firefly Algorithm for Solving Real-World Uncapacitated Examination Timetabling Problem. IEEE Access 12 (2024)
Ravneil Nand
A Preference-based Stepping ahead Artificial Bee Colony Algorithm for Global Optimization. PACIS (2022)
Ravneil Nand, Bibhya Sharma, Kaylash Chaudhary
An introduction of preference based stepping ahead firefly algorithm for the uncapacitated examination timetabling. PeerJ Comput. Sci. 8 (2022)
Ravneil Nand, Bibhya Nand Sharma, Kaylash Chaudhary
Stepping ahead Firefly Algorithm and hybridization with evolution strategy for global optimization problems. Appl. Soft Comput. 109 (2021)
Ravneil Nand, Ashneel Chand, Emmenual Reddy
Data Mining Students' performance in a Higher Learning Environment. NILES (2021)
Ravneil Nand, Kaylash Chaudhary, Bibhya Sharma
Stepping ahead based hybridization of meta-heuristic model for solving Global Optimization Problems. CEC (2020)
Ravneil Nand, Anuraganand Sharma
Meta-heuristic approaches to tackle Skill Based Group allocation of Students in Project Based Learning Courses. CEC (2019)
Ravneil Nand, Anuraganand Sharma, Karuna Reddy
Skill-Based Group Allocation of Students for Project-Based Learning Courses Using Genetic Algorithm: Weighted Penalty Model. TALE (2018)
Ravneil Nand, Anuragan Sharma, Karuna Reddy
Skill-Based Group Allocation of Students for Project-Based Learning Courses Using Genetic Algorithm: Weightless Penalty Model. TALE (2018)
Bibhya Nand Sharma, Ravneil Nand, Mohammed Naseem, Emmenual Reddy, Swasti Shubha Narayan, Karuna Reddy
Smart Learning in the Pacific: Design of New Pedagogical Tools. TALE (2018)
Ravneil Nand, Rohitash Chandra
Reverse Neuron Level Decomposition for Cooperative Neuro-Evolution of Feedforward Networks for Time Series Prediction. ACALCI (2016)
Ravneil Nand, Rohitash Chandra
Competitive Island Cooperative Neuro-evolution of Feedforward Networks for Time Series Prediction. ACALCI (2016)
Ravneil Nand
Neuron-synapse level problem decomposition method for cooperative coevolution of recurrent networks for time series prediction. CEC (2016)
Ravneil Nand, Rohitash Chandra
Coevolutionary Feature Selection and Reconstruction in Neuro-Evolution for Time Series Prediction. ACALCI (2016)
Ravneil Nand, Emmenual Reddy, Mohammed Naseem
Neuron-Network Level Problem Decomposition Method for Cooperative Coevolution of Recurrent Networks for Time Series Prediction. ICONIP (3) (2016)
Ravneil Nand, Rohitash Chandra
Neuron-Synapse Level Problem Decomposition Method for Cooperative Neuro-Evolution of Feedforward Networks for Time Series Prediction. ICONIP (3) (2015)