Cuckoo Search via Lévy Flights. - Xin-She Yang 001; Suash Deb (NaBIC, 2009)

A novel alternative to conventional machine vision features. - Suash Deb (Int. J. Bio Inspired Comput., 2009)

Eagle Strategy Using Lévy Walk and Firefly Algorithms for Stochastic Optimization. - Xin-She Yang 001; Suash Deb (NICSO, 2010)

Engineering optimisation by cuckoo search. - Xin-She Yang 001; Suash Deb (Int. J. Math. Model. Numer. Optimisation, 2010)

Path Optimization for Software Testing: An Intelligent Approach using Cuckoo Search. - Praveen Ranjan Srivastava; Monica Chis; Suash Deb; Xin-She Yang 001 (IICAI, 2011)

Accelerated Particle Swarm Optimization and Support Vector Machine for Business Optimization and Applications. - Xin-She Yang 001; Suash Deb; Simon Fong 001 (NDT, 2011)

Nature-Inspired Clustering Algorithms for Web Intelligence Data. - Rui Tang; Simon Fong 001; Xin-She Yang 001; Suash Deb (Web Intelligence/IAT Workshops, 2012)

Integrating nature-inspired optimization algorithms to K-means clustering. - Rui Tang; Simon Fong 001; Xin-She Yang 001; Suash Deb (ICDIM, 2012)

Wolf search algorithm with ephemeral memory. - Rui Tang; Simon Fong 001; Xin-She Yang 001; Suash Deb (ICDIM, 2012)

Coupled eagle strategy and differential evolution for unconstrained and constrained global optimization. - Amir Hossein Gandomi; Xin-She Yang 001; Siamak Talatahari; Suash Deb (Comput. Math. Appl., 2012)

Two-stage eagle strategy with differential evolution. - Xin-She Yang 001; Suash Deb (Int. J. Bio Inspired Comput., 2012)

Swarm Search for Feature Selection in Classification. - Simon Fong 001; Xin-She Yang 001; Suash Deb (CSE, 2013)

Eagle strategy with flower algorithm. - Xin-She Yang 001; Suash Deb; Xingshi He (ICACCI, 2013)

Multiobjective cuckoo search for design optimization. - Xin-She Yang 001; Suash Deb (Comput. Oper. Res., 2013)

Selecting Optimal Feature Set in High-Dimensional Data by Swarm Search. - Simon Fong 001; Zhuang Yan; Rui Tang; Xin-She Yang 001; Suash Deb (J. Appl. Math., 2013)

A framework for self-tuning optimization algorithm. - Xin-She Yang 001; Suash Deb; Martin J. Loomes; Mehmet Karamanoglu (Neural Comput. Appl., 2013)

An event driven neural network system for evaluating public moods from online users' comments. - Simon Fong 001; Suash Deb; Io-Weng Chan; P. Vijayakumar 002 (ICADIWT, 2014)

Location-Based Mutual and Mobile Information Navigation System: Lemmings. - Simon Fong 001; Renfei Luo; Suash Deb; Sabu M. Thampi (ISI (2), 2014)

Classifying Sonar Signals Using an Incremental Data Stream Mining Methodology with Conflict Analysis. - Simon Fong 001; Suash Deb; Sabu M. Thampi (SIRS, 2014)

A Novel Disease Outbreak Prediction Model for Compact Spatial-Temporal Environments. - Kam Kin Lao; Suash Deb; Sabu M. Thampi; Simon Fong 001 (SIRS, 2014)

Framework of Lightweight Secure Media Transfer for Mobile Law Enforcement Apps. - Suash Deb; Simon Fong 001; Sabu M. Thampi (SSCC, 2014)

Underwater Sonar Signals Recognition by Incremental Data Stream Mining with Conflict Analysis. - Simon Fong 001; Suash Deb; Raymond K. Wong 001; Guangmin Sun (Int. J. Distributed Sens. Networks, 2014)

Feature Selection in Life Science Classification: Metaheuristic Swarm Search. - Simon Fong 001; Suash Deb; Xin-She Yang 001; Jinyan Li 002 (IT Prof., 2014)

Bat Algorithm is Better Than Intermittent Search Strategy. - Xin-She Yang 001; Suash Deb; Simon Fong 001 (J. Multiple Valued Log. Soft Comput., 2014)

Cuckoo search: recent advances and applications. - Xin-She Yang 001; Suash Deb (Neural Comput. Appl., 2014)

Elephant Search Algorithm for optimization problems. - Suash Deb; Simon Fong 001; Zhonghuan Tian (ICDIM, 2015)

A review of metaheuristics in robotics. - Simon Fong 001; Suash Deb; Ankit Chaudhary (Comput. Electr. Eng., 2015)

A heuristic optimization method inspired by wolf preying behavior. - Simon Fong 001; Suash Deb; Xin-She Yang 001 (Neural Comput. Appl., 2015)

From Swarm Intelligence to Metaheuristics: Nature-Inspired Optimization Algorithms. - Xin-She Yang 001; Suash Deb; Simon Fong 001; Xingshi He; Yuxin Zhao 001 (Computer, 2016)

Eidetic Wolf Search Algorithm with a global memory structure. - Simon Fong 001; Suash Deb; Thomas Hanne; Jinyan (Leo) Li (Eur. J. Oper. Res., 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)

A new metaheuristic optimisation algorithm motivated by elephant herding behaviour. - Gai-Ge Wang; Suash Deb; Xiao-Zhi Gao 001; Leandro dos Santos Coelho (Int. J. Bio Inspired Comput., 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 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)

Recent advances in machine intelligence. - Suash Deb; Thomas Hanne; Simon Fong 001 (Soft Comput., 2016)

Chaotic cuckoo search. - Gai-Ge Wang; Suash Deb; Amir Hossein Gandomi; Zhaojun Zhang; Amir Hossein Alavi (Soft Comput., 2016)

Finding approximate solutions of NP-hard optimization and TSP problems using elephant search algorithm. - Suash Deb; Simon Fong 001; Zhonghuan Tian; Raymond K. Wong 001; Sabah Mohammed; Jinan Fiaidhi (J. Supercomput., 2016)

Modeling preference time in middle distance triathlons. - Iztok Fister 001; Andrés Iglesias 001; Suash Deb; Dusan Fister; Iztok Fister Jr. (ISCBI, 2017)

Making up for the deficit in a marathon run. - Iztok Fister Jr.; Dusan Fister; Suash Deb; Uros Mlakar; Janez Brest; Iztok Fister 001 (CoRR, 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)

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)

Multi-species Cuckoo Search Algorithm for Global Optimization. - Xin-She Yang 001; Suash Deb; Sudhanshu K. Mishra (Cogn. Comput., 2018)

Cuckoo Search: State-of-the-Art and Opportunities. - Xin-She Yang 001; Suash Deb (CoRR, 2018)

Gaussian Guided Self-Adaptive Wolf Search Algorithm Based on Information Entropy Theory. - Qun Song 004; Simon Fong 001; Suash Deb; Thomas Hanne (Entropy, 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)

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)

Dynamic group optimisation algorithm for training feed-forward neural networks. - Rui Tang; Simon Fong 001; Suash Deb; Athanasios V. Vasilakos; Richard C. Millham (Neurocomputing, 2018)

Special issue: The International Conference on Soft Computing and Machine Intelligence. - Suash Deb; Thomas Hanne; Xiao-Zhi Gao 001 (Neural Comput. Appl., 2018)

Solving IIR system identification by a variant of particle swarm optimization. - De-Xuan Zou; Suash Deb; Gai-Ge Wang (Neural Comput. Appl., 2018)

Dynamic group search algorithm for solving an engineering problem. - Rui Tang; Simon Fong 001; Suash Deb; Raymond K. Wong 001 (Oper. Res., 2018)

Vitality-based elephant search algorithm. - Zhonghuan Tian; Simon Fong 001; Suash Deb; Rui Tang; Raymond K. Wong 001 (Oper. Res., 2018)

A new monarch butterfly optimization with an improved crossover operator. - Gai-Ge Wang; Suash Deb; Xinchao Zhao; Zhihua Cui (Oper. Res., 2018)

Special issue: the International Conference on Soft Computing and Machine Intelligence. - Suash Deb; Thomas Hanne; Ka-Chun Wong (Soft Comput., 2018)

Solving permutation flow-shop scheduling problem by rhinoceros search algorithm. - Suash Deb; Zhonghuan Tian; Simon Fong 001; Rui Tang; Raymond K. Wong 001; Nilanjan Dey (Soft Comput., 2018)

Elephant search algorithm applied to data clustering. - Suash Deb; Zhonghuan Tian; Simon Fong 001; Raymond K. Wong 001; Richard C. Millham; Kelvin Kian Loong Wong (Soft Comput., 2018)

Swarm intelligence: past, present and future. - Xin-She Yang 001; Suash Deb; Yuxin Zhao 001; Simon Fong 001; Xingshi He (Soft Comput., 2018)

Theory and applications of soft computing methods. - Zhihua Cui; Xiao-Zhi Gao 001; Suash Deb (Neural Comput. Appl., 2019)

Monarch butterfly optimization. - Gai-Ge Wang; Suash Deb; Zhihua Cui (Neural Comput. Appl., 2019)

Attraction and diffusion in nature-inspired optimization algorithms. - Xin-She Yang 001; Suash Deb; Thomas Hanne; Xingshi He (Neural Comput. Appl., 2019)

Population-based metaheuristics for Association Rule Text Mining. - Iztok Fister Jr.; Suash Deb; Iztok Fister 001 (ISMSI, 2020)

Special issue of 2017 India International Congress on Computational Intelligence. - Suash Deb; Ka-Chun Wong; Thomas Hanne (Neural Comput. Appl., 2020)

EDITORIAL: Special Issue of 2018 India International Congress on Computational Intelligence. - Suash Deb; Ka-Chun Wong; Xin-She Yang 001 (Neural Comput. Appl., 2020)

Post hoc analysis of sport performance with differential evolution. - Iztok Fister 001; Dusan Fister; Suash Deb; Uros Mlakar; Janez Brest; Iztok Fister Jr. (Neural Comput. Appl., 2020)

Development of a framework for modeling preference times in triathlon. - Iztok Fister Jr.; Andrés Iglesias 001; Suash Deb; Dusan Fister; Iztok Fister 001 (Neural Comput. Appl., 2020)

On Deploying the Artificial Sport Trainer into Practice. - Iztok Fister 001; Andrés Iglesias 001; Akemi Gálvez; Suash Deb; Dusan Fister (ISCMI, 2021)

Cuckoo Search Algorithm and K-Means for IFS Reconstruction of Fractal Colored Images. - Akemi Gálvez; Suash Deb; Iztok Fister 001; Andrés Iglesias 001 (ISCMI, 2021)

On Selection of a Benchmark by Determining the Algorithms' Qualities. - Iztok Fister 001; Janez Brest; Andrés Iglesias 001; Akemi Gálvez; Suash Deb; Iztok Fister Jr. (IEEE Access, 2021)

On deploying the Artificial Sport Trainer into practice. - Iztok Fister Jr.; Iztok Fister 001; Andrés Iglesias 001; Akemi Gálvez; Suash Deb; Dusan Fister (CoRR, 2021)

Monarch butterfly optimization: A comprehensive review. - Yanhong Feng; Suash Deb; Gai-Ge Wang; Amir Hossein Alavi (Expert Syst. Appl., 2021)

Cuckoo Search Algorithm with Lévy Flights for Surface Reconstruction from Point Clouds with Applications to Reverse Engineering. - Akemi Gálvez; Iztok Fister 001; Suash Deb; Iztok Fister Jr.; Andrés Iglesias 001 (ISMSI, 2023)

2019 India International Congress on Computational Intelligence. - Suash Deb; Ka-Chun Wong; Thomas Hanne (Neural Comput. Appl., 2023)

Editorial: 2020 India international congress on computational intelligence. - Suash Deb; Ka-Chun Wong; Thomas Hanne (Neural Comput. Appl., 2025)

Hybrid GA-PSO method with local search and image clustering for automatic IFS image reconstruction of fractal colored images. - Akemi Gálvez; Iztok Fister 001; Suash Deb; Iztok Fister Jr.; Andrés Iglesias 001 (Neural Comput. Appl., 2025)