Suash Deb

According to our database, Suash Deb authored at least 69 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

2019 India International Congress on Computational Intelligence.

Suash Deb, Ka-Chun Wong, Thomas Hanne

Neural Comput. Appl., 2023

Cuckoo Search Algorithm with Lévy Flights for Surface Reconstruction from Point Clouds with Applications to Reverse Engineering.

Akemi Gálvez, Iztok Fister, Suash Deb, Iztok Fister Jr., Andrés Iglesias

Proceedings of the ISMSI 2023: Proceedings of the 7th International Conference on Intelligent Systems, 2023

2021

Monarch butterfly optimization: A comprehensive review.

Yanhong Feng, Suash Deb, Gai-Ge Wang, Amir Hossein Alavi

Expert Syst. Appl., 2021

On deploying the Artificial Sport Trainer into practice.

Iztok Fister Jr., Iztok Fister, Andrés Iglesias, Akemi Gálvez, Suash Deb, Dusan Fister

CoRR, 2021

On Selection of a Benchmark by Determining the Algorithms' Qualities.

Iztok Fister, Janez Brest, Andrés Iglesias, Akemi Gálvez, Suash Deb, Iztok Fister Jr.

IEEE Access, 2021

2020

Development of a framework for modeling preference times in triathlon.

Iztok Fister Jr., Andrés Iglesias, Suash Deb, Dusan Fister, Iztok Fister

Neural Comput. Appl., 2020

Post hoc analysis of sport performance with differential evolution.

Iztok Fister, Dusan Fister, Suash Deb, Uros Mlakar, Janez Brest, Iztok Fister Jr.

Neural Comput. Appl., 2020

EDITORIAL: Special Issue of 2018 India International Congress on Computational Intelligence.

Suash Deb, Ka-Chun Wong, Xin-She Yang

Neural Comput. Appl., 2020

Special issue of 2017 India International Congress on Computational Intelligence.

Suash Deb, Ka-Chun Wong, Thomas Hanne

Neural Comput. Appl., 2020

Population-based metaheuristics for Association Rule Text Mining.

Iztok Fister Jr., Suash Deb, Iztok Fister

Proceedings of the ISMSI '20: 2020 4th International Conference on Intelligent Systems, 2020

2019

Attraction and diffusion in nature-inspired optimization algorithms.

Xin-She Yang, Suash Deb, Thomas Hanne, Xingshi He

Neural Comput. Appl., 2019

Monarch butterfly optimization.

Gai-Ge Wang, Suash Deb, Zhihua Cui

Neural Comput. Appl., 2019

Theory and applications of soft computing methods.

Zhihua Cui, Xiao-Zhi Gao, Suash Deb

Neural Comput. Appl., 2019

2018

Swarm intelligence: past, present and future.

Xin-She Yang, Suash Deb, Yuxin Zhao, Simon Fong, Xingshi He

Soft Comput., 2018

Elephant search algorithm applied to data clustering.

Suash Deb, Zhonghuan Tian, Simon Fong, Raymond K. Wong, Richard C. Millham, Kelvin Kian Loong Wong

Soft Comput., 2018

Solving permutation flow-shop scheduling problem by rhinoceros search algorithm.

Suash Deb, Zhonghuan Tian, Simon Fong, Rui Tang, Raymond K. Wong, Nilanjan Dey

Soft Comput., 2018

Special issue: the International Conference on Soft Computing and Machine Intelligence.

Suash Deb, Thomas Hanne, Ka-Chun Wong

Soft Comput., 2018

A new monarch butterfly optimization with an improved crossover operator.

Gai-Ge Wang, Suash Deb, Xinchao Zhao, Zhihua Cui

Oper. Res., 2018

Vitality-based elephant search algorithm.

Zhonghuan Tian, Simon Fong, Suash Deb, Rui Tang, Raymond K. Wong

Oper. Res., 2018

Dynamic group search algorithm for solving an engineering problem.

Rui Tang, Simon Fong, Suash Deb, Raymond K. Wong

Oper. Res., 2018

Solving IIR system identification by a variant of particle swarm optimization.

De-Xuan Zou, Suash Deb, Gai-Ge Wang

Neural Comput. Appl., 2018

Special issue: The International Conference on Soft Computing and Machine Intelligence.

Suash Deb, Thomas Hanne, Xiao-Zhi Gao

Neural Comput. Appl., 2018

Dynamic group optimisation algorithm for training feed-forward neural networks.

Rui Tang, Simon Fong, Suash Deb, Athanasios V. Vasilakos, Richard C. Millham

Neurocomputing, 2018

Earthworm optimisation algorithm: a bio-inspired metaheuristic algorithm for global optimisation problems.

Gai-Ge Wang, Suash Deb, Leandro dos Santos Coelho

Int. J. Bio Inspired Comput., 2018

An improved NSGA-III algorithm with adaptive mutation operator for Big Data optimization problems.

Jiao-Hong Yi, Suash Deb, Junyu Dong, Amir Hossein Alavi, Gai-Ge Wang

Future Gener. Comput. Syst., 2018

Gaussian Guided Self-Adaptive Wolf Search Algorithm Based on Information Entropy Theory.

Qun Song, Simon Fong, Suash Deb, Thomas Hanne

Entropy, 2018

Cuckoo Search: State-of-the-Art and Opportunities.

Xin-She Yang, Suash Deb

CoRR, 2018

Multi-species Cuckoo Search Algorithm for Global Optimization.

Xin-She Yang, Suash Deb, Sudhanshu K. Mishra

Cogn. Comput., 2018

2017

A novel fruit fly framework for multi-objective shape design of tubular linear synchronous motor.

Rizk Masoud Rizk-Allah, Ragab A. El-Sehiemy, Suash Deb, Gai-Ge Wang

J. Supercomput., 2017

Solving 0-1 knapsack problem by a novel binary monarch butterfly optimization.

Yanhong Feng, Gai-Ge Wang, Suash Deb, Mei Lu, Xiang-Jun Zhao

Neural Comput. Appl., 2017

Making up for the deficit in a marathon run.

Iztok Fister Jr., Dusan Fister, Suash Deb, Uros Mlakar, Janez Brest, Iztok Fister

CoRR, 2017

Modeling preference time in middle distance triathlons.

Iztok Fister, Andrés Iglesias, Suash Deb, Dusan Fister, Iztok Fister Jr.

Proceedings of the 5th International Symposium on Computational and Business Intelligence, 2017

2016

Finding approximate solutions of NP-hard optimization and TSP problems using elephant search algorithm.

Suash Deb, Simon Fong, Zhonghuan Tian, Raymond K. Wong, Sabah Mohammed, Jinan Fiaidhi

J. Supercomput., 2016

Chaotic cuckoo search.

Gai-Ge Wang, Suash Deb, Amir Hossein Gandomi, Zhaojun Zhang, Amir Hossein Alavi

Soft Comput., 2016

Recent advances in machine intelligence.

Suash Deb, Thomas Hanne, Simon Fong

Soft Comput., 2016

A hybrid method based on krill herd and quantum-behaved particle swarm optimization.

Gai-Ge Wang, Amir Hossein Gandomi, Amir Hossein Alavi, Suash Deb

Neural Comput. Appl., 2016

Opposition-based krill herd algorithm with Cauchy mutation and position clamping.

Gai-Ge Wang, Suash Deb, Amir Hossein Gandomi, Amir Hossein Alavi

Neurocomputing, 2016

A new metaheuristic optimisation algorithm motivated by elephant herding behaviour.

Gai-Ge Wang, Suash Deb, Xiao-Zhi Gao, Leandro dos Santos Coelho

Int. J. Bio Inspired Comput., 2016

A Multi-Stage Krill Herd Algorithm for Global Numerical Optimization.

Gai-Ge Wang, Amir Hossein Gandomi, Amir Hossein Alavi, Suash Deb

Int. J. Artif. Intell. Tools, 2016

Eidetic Wolf Search Algorithm with a global memory structure.

Simon Fong, Suash Deb, Thomas Hanne, Jinyan (Leo) Li

Eur. J. Oper. Res., 2016

From Swarm Intelligence to Metaheuristics: Nature-Inspired Optimization Algorithms.

Xin-She Yang, Suash Deb, Simon Fong, Xingshi He, Yuxin Zhao

Computer, 2016

2015

A heuristic optimization method inspired by wolf preying behavior.

Simon Fong, Suash Deb, Xin-She Yang

Neural Comput. Appl., 2015

A review of metaheuristics in robotics.

Simon Fong, Suash Deb, Ankit Chaudhary

Comput. Electr. Eng., 2015

Elephant Search Algorithm for optimization problems.

Suash Deb, Simon Fong, Zhonghuan Tian

Proceedings of the Tenth International Conference on Digital Information Management, 2015

2014

Cuckoo search: recent advances and applications.

Xin-She Yang, Suash Deb

Neural Comput. Appl., 2014

Bat Algorithm is Better Than Intermittent Search Strategy.

Xin-She Yang, Suash Deb, Simon Fong

J. Multiple Valued Log. Soft Comput., 2014

Feature Selection in Life Science Classification: Metaheuristic Swarm Search.

Simon Fong, Suash Deb, Xin-She Yang, Jinyan Li

IT Prof., 2014

Underwater Sonar Signals Recognition by Incremental Data Stream Mining with Conflict Analysis.

Simon Fong, Suash Deb, Raymond K. Wong, Guangmin Sun

Int. J. Distributed Sens. Networks, 2014

Framework of Lightweight Secure Media Transfer for Mobile Law Enforcement Apps.

Suash Deb, Simon Fong, Sabu M. Thampi

Proceedings of the Security in Computing and Communications, 2014

A Novel Disease Outbreak Prediction Model for Compact Spatial-Temporal Environments.

Kam Kin Lao, Suash Deb, Sabu M. Thampi, Simon Fong

Proceedings of the Advances in Signal Processing and Intelligent Recognition Systems, 2014

Classifying Sonar Signals Using an Incremental Data Stream Mining Methodology with Conflict Analysis.

Simon Fong, Suash Deb, Sabu M. Thampi

Proceedings of the Advances in Signal Processing and Intelligent Recognition Systems, 2014

Location-Based Mutual and Mobile Information Navigation System: Lemmings.

Simon Fong, Renfei Luo, Suash Deb, Sabu M. Thampi

Proceedings of the Intelligent Distributed Computing, 2014

An event driven neural network system for evaluating public moods from online users' comments.

Simon Fong, Suash Deb, Io-Weng Chan, P. Vijayakumar

Proceedings of the Fifth International Conference on the Applications of Digital Information and Web Technologies, 2014

2013

A framework for self-tuning optimization algorithm.

Xin-She Yang, Suash Deb, Martin J. Loomes, Mehmet Karamanoglu

Neural Comput. Appl., 2013

Selecting Optimal Feature Set in High-Dimensional Data by Swarm Search.

Simon Fong, Zhuang Yan, Rui Tang, Xin-She Yang, Suash Deb

J. Appl. Math., 2013

Multiobjective cuckoo search for design optimization.

Xin-She Yang, Suash Deb

Comput. Oper. Res., 2013

Eagle strategy with flower algorithm.

Xin-She Yang, Suash Deb, Xingshi He

Proceedings of the International Conference on Advances in Computing, 2013

Swarm Search for Feature Selection in Classification.

Simon Fong, Xin-She Yang, Suash Deb

Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013

2012

Two-stage eagle strategy with differential evolution.

Xin-She Yang, Suash Deb

Int. J. Bio Inspired Comput., 2012

Coupled eagle strategy and differential evolution for unconstrained and constrained global optimization.

Amir Hossein Gandomi, Xin-She Yang, Siamak Talatahari, Suash Deb

Comput. Math. Appl., 2012

Wolf search algorithm with ephemeral memory.

Rui Tang, Simon Fong, Xin-She Yang, Suash Deb

Proceedings of the Seventh International Conference on Digital Information Management, 2012

Integrating nature-inspired optimization algorithms to K-means clustering.

Rui Tang, Simon Fong, Xin-She Yang, Suash Deb

Proceedings of the Seventh International Conference on Digital Information Management, 2012

Nature-Inspired Clustering Algorithms for Web Intelligence Data.

Rui Tang, Simon Fong, Xin-She Yang, Suash Deb

Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012

2011

Accelerated Particle Swarm Optimization and Support Vector Machine for Business Optimization and Applications.

Xin-She Yang, Suash Deb, Simon Fong

Proceedings of the Networked Digital Technologies - Third International Conference, 2011

Path Optimization for Software Testing: An Intelligent Approach using Cuckoo Search.

Praveen Ranjan Srivastava, Monica Chis, Suash Deb, Xin-She Yang

Proceedings of the 5th Indian International Conference on Artificial Intelligence, 2011

2010

Engineering optimisation by cuckoo search.

Xin-She Yang, Suash Deb

Int. J. Math. Model. Numer. Optimisation, 2010

Eagle Strategy Using Lévy Walk and Firefly Algorithms for Stochastic Optimization.

Xin-She Yang, Suash Deb

Proceedings of the Nature Inspired Cooperative Strategies for Optimization, 2010

2009

A novel alternative to conventional machine vision features.

Suash Deb

Int. J. Bio Inspired Comput., 2009

Cuckoo Search via Lévy Flights.

Xin-She Yang, Suash Deb

Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009