Items where Author is "Nand, Ravneil"

Book Chapter

Nand, Ravneil and Reddy, Emmenual and Naseem, Mohammed (2016) Neuron - network level problem decomposition method for cooperative coevolution of recurrent networks for time series prediction. In: Neural Information Processing. Springer International Publishing, Cham, pp. 38-48. ISBN 9783319466743

Nand, Ravneil and Chandra, Rohitash (2016) Coevolutionary feature selection and reconstruction in neuro - evolution for time series prediction. In: Artificial Life and Computational Intelligence. Springer International Publishing, Switzerland, pp. 285-297. ISBN 9783319282695

Nand, Ravneil and Chandra, Rohitash (2016) Competitive island cooperative neuro - evolution of feedforward networks for time series prediction. In: Artificial Life and Computational Intelligence. Lecture Notes in Computer Science, 9592 . Springer International Publishing, Switzerland, pp. 285-297. ISBN 9783319282695

Nand, Ravneil and Chandra, Rohitash (2016) Reverse neuron level decomposition for cooperative neuro - evolution of feedforward networks for time series prediction. In: Artificial Life and Computational Intelligence. Lecture Notes in Computer Science, 9592 . Springer International Publishing, Switzerland, pp. 171-182. ISBN 9783319282695

Nand, Ravneil and Chandra, Rohitash (2015) Neuron - synapse level problem decomposition method for cooperative neuro - evolution of feedforward networks for time series prediction. In: Neural Information Processing. Lecture Notes in Computer Science . Springer International Publishing, Switzerland, pp. 90-100. ISBN 978-3-319-26554-4

Conference Proceedings

Reddy, Emmenual and Nand, Ravneil (2023) A Comparative Analysis of Swarm Intelligent Algorithms. [Conference Proceedings]

Nand, Ravneil and Chand, Ashneel and Reddy, Emmenual (2023) Comparative Analysis of Classification Techniques on Olympic Games Datasets. [Conference Proceedings]

Nand, Ravneil and Chand, Ashneel and Reddy, Emmenual (2021) Data Mining Students' performance in a Higher Learning Environment. [Conference Proceedings]

Naseem, Mohammed and Reddy, Emmenual and Nand, Ravneil (2021) Statistical methods for data mining Mathematics students' online presence. [Conference Proceedings]

Nand, Ravneil and Chaudhary, Kaylash C. and Sharma, Bibhya N. (2020) Stepping ahead based hybridization of meta - heuristic model for solving global optimization problems. [Conference Proceedings]

Chand, Ashneel and Nand, Ravneil (2020) Rainfall prediction using Artificial Neural Network in the South Pacific region. [Conference Proceedings]

Nand, Ravneil and Chand, Ashneel and Naseem, Mohammed (2020) Analyzing students’ online presence in undergraduate courses using Clustering. [Conference Proceedings]

Nand, Ravneil and Sharma, Priynka (2019) Iteration split with Firefly Algorithm and Genetic Algorithm to solve multidimensional knapsack problems. [Conference Proceedings]

Nand, Ravneil and Sharma, Anuraganand (2019) Meta-heuristic approaches to tackle Skill Based Group allocation of Students in Project Based Learning Courses. [Conference Proceedings]

Nand, Ravneil and Sharma, Anuraganand and Reddy, Karuna G. (2018) Skill-Based Group Allocation of Students for Project-Based Learning Courses Using Genetic Algorithm: Weightless Penalty Model. [Conference Proceedings]

Sharma, Bibhya N. and Nand, Ravneil and Naseem, Mohammed and Reddy, Emmenual and Narayan, Swasti S. and Reddy, Karuna G. (2018) Smart Learning in the Pacific: Design of New Pedagogical Tools. [Conference Proceedings]

Nand, Ravneil and Sharma, Anuraganand and Reddy, Karuna G. (2018) Skill-Based Group Allocation of Students for Project-Based Learning Courses using Genetic Algorithm: Weighted Penalty Model. [Conference Proceedings]

Nand, Ravneil and Naseem, Mohammed and Reddy, Emmenual and Sharma, Bibhya N. (2017) Combinational problem decomposition method for Cooperative Coevolution of Recurrent Networks for Time Series Prediction. [Conference Proceedings]

Nand, Ravneil and Sharma, Bibhya N. (2017) Modified Neuron-Synapse level problem decomposition method for Cooperative Coevolution of Feedforward Networks for Time Series Prediction. [Conference Proceedings]

Nand, Ravneil (2016) Neuron - synapse level problem decomposition method for cooperative coevolution of recurrent networks for time series prediction. [Conference Proceedings]

Journal Article

Nand, Ravneil and Chaudhary, Kaylash C. and Sharma, Bibhya N. (2024) Single depot multiple travelling salesman problem solved with preference - based stepping ahead firefly algorithm. IEEE Access, 12 . pp. 26655-26666. ISSN 2169-3536

Nand, Ravneil and Reddy, Emmenual and Chaudhary, Kaylash C. and Sharma, Bibhya N. (2024) Preference based stepping ahead firefly algorithm for solving real - world uncapacitated examination timetabling problem. IEEE Access, 12 . pp. 24685-24699. ISSN 2169-3536

Nand, Ravneil and Sharma, Bibhya N. and Chaudhary, Kaylash C. (2022) An introduction of preference based stepping ahead firefly algorithm for the uncapacitated examination timetabling. PeerJ Computer Science, 8 . NA. ISSN 2376-5992

Nand, Ravneil and Sharma, Bibhya N. and Chaudhary, Kaylash C. (2021) Stepping ahead Firefly Algorithm and hybridization with evolution strategy for global optimization problems. Applied Soft Computing, 109 . NA. ISSN 1568-4946

Sharma, Bibhya N. and Nand, Ravneil and Naseem, Mohammed and Reddy, Emmenual (2019) Effectiveness of online presence in a blended higher learning environment in the Pacific. Studies in Higher Education, NA . pp. 1-19. ISSN 0307-5079