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ORCIDSuash Deb
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2020 – today
- 2023
[j48]Suash Deb, Ka-Chun Wong, Thomas Hanne:
2019 India International Congress on Computational Intelligence. Neural Comput. Appl. 35(2): 1053-1054 (2023)- [c18]Akemi Gálvez
, Iztok Fister, Suash Deb, Iztok Fister Jr., Andrés Iglesias:
Cuckoo Search Algorithm with Lévy Flights for Surface Reconstruction from Point Clouds with Applications to Reverse Engineering. ISMSI 2023: 95-102 - 2021
- [j47]Iztok Fister, Janez Brest, Andrés Iglesias, Akemi Gálvez, Suash Deb, Iztok Fister Jr.:
On Selection of a Benchmark by Determining the Algorithms' Qualities. IEEE Access 9: 51166-51178 (2021) - [j46]Yanhong Feng, Suash Deb, Gai-Ge Wang, Amir Hossein Alavi:
Monarch butterfly optimization: A comprehensive review. Expert Syst. Appl. 168: 114418 (2021) - [e2]Suash Deb:
ISMSI 2021: 2021 5th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, Victoria, Seychelles, April 10-11, 2021. ACM 2021, ISBN 978-1-4503-8967-9 [contents] - [i10]Iztok Fister Jr., Iztok Fister, Andrés Iglesias, Akemi Gálvez, Suash Deb, Dusan Fister:
On deploying the Artificial Sport Trainer into practice. CoRR abs/2109.13334 (2021) - 2020
- [j45]Suash Deb, Ka-Chun Wong, Thomas Hanne:
Special issue of 2017 India International Congress on Computational Intelligence. Neural Comput. Appl. 32(15): 10797-10798 (2020) - [j44]Iztok Fister, Dusan Fister, Suash Deb, Uros Mlakar, Janez Brest, Iztok Fister Jr.:
Post hoc analysis of sport performance with differential evolution. Neural Comput. Appl. 32(15): 10799-10808 (2020) - [j43]Iztok Fister Jr., Andrés Iglesias, Suash Deb, Dusan Fister, Iztok Fister:
Development of a framework for modeling preference times in triathlon. Neural Comput. Appl. 32(15): 10833-10846 (2020) - [j42]Suash Deb, Ka-Chun Wong, Xin-She Yang:
EDITORIAL: Special Issue of 2018 India International Congress on Computational Intelligence. Neural Comput. Appl. 32(19): 15427-15428 (2020) - [c17]Iztok Fister Jr., Suash Deb, Iztok Fister:
Population-based metaheuristics for Association Rule Text Mining. ISMSI 2020: 19-23 - [e1]Suash Deb:
ISMSI '20: 2020 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, ISMSI 2020, Thimphu, Bhutan, March 21-22, 2020. ACM 2020, ISBN 978-1-4503-7761-4 [contents] - [i9]Iztok Fister Jr., Suash Deb, Iztok Fister:
Population-based metaheuristics for Association Rule Text Mining. CoRR abs/2001.06517 (2020)
2010 – 2019
- 2019
- [j41]Zhihua Cui, Xiao-Zhi Gao, Suash Deb:
Theory and applications of soft computing methods. Neural Comput. Appl. 31(7): 1983-1985 (2019) - [j40]Xin-She Yang, Suash Deb, Thomas Hanne, Xingshi He:
Attraction and diffusion in nature-inspired optimization algorithms. Neural Comput. Appl. 31(7): 1987-1994 (2019) - [j39]Gai-Ge Wang, Suash Deb, Zhihua Cui:
Monarch butterfly optimization. Neural Comput. Appl. 31(7): 1995-2014 (2019) - [i8]Xin-She Yang, Suash Deb, Sudhanshu K. Mishra:
Multi-Species Cuckoo Search Algorithm for Global Optimization. CoRR abs/1903.11446 (2019) - 2018
- [j38]Xin-She Yang, Suash Deb, Sudhanshu K. Mishra:
Multi-species Cuckoo Search Algorithm for Global Optimization. Cogn. Comput. 10(6): 1085-1095 (2018) - [j37]Qun Song, Simon Fong, Suash Deb, Thomas Hanne:
Gaussian Guided Self-Adaptive Wolf Search Algorithm Based on Information Entropy Theory. Entropy 20(1): 37 (2018) - [j36]Jiao-Hong Yi, Suash Deb, Junyu Dong, Amir Hossein Alavi, Gai-Ge Wang:
An improved NSGA-III algorithm with adaptive mutation operator for Big Data optimization problems. Future Gener. Comput. Syst. 88: 571-585 (2018) - [j35]Gai-Ge Wang, Suash Deb, Leandro dos Santos Coelho:
Earthworm optimisation algorithm: a bio-inspired metaheuristic algorithm for global optimisation problems. Int. J. Bio Inspired Comput. 12(1): 1-22 (2018) - [j34]Rui Tang, Simon Fong, Suash Deb, Athanasios V. Vasilakos, Richard C. Millham:
Dynamic group optimisation algorithm for training feed-forward neural networks. Neurocomputing 314: 1-19 (2018) - [j33]Suash Deb, Thomas Hanne, Xiao-Zhi Gao:
Special issue: The International Conference on Soft Computing and Machine Intelligence. Neural Comput. Appl. 30(3): 683-684 (2018) - [j32]De-Xuan Zou, Suash Deb, Gai-Ge Wang:
Solving IIR system identification by a variant of particle swarm optimization. Neural Comput. Appl. 30(3): 685-698 (2018) - [j31]Gai-Ge Wang, Suash Deb, Xinchao Zhao, Zhihua Cui:
A new monarch butterfly optimization with an improved crossover operator. Oper. Res. 18(3): 731-755 (2018) - [j30]Rui Tang, Simon Fong, Suash Deb, Raymond K. Wong:
Dynamic group search algorithm for solving an engineering problem. Oper. Res. 18(3): 781-799 (2018) - [j29]Zhonghuan Tian, Simon Fong, Suash Deb, Rui Tang, Raymond K. Wong:
Vitality-based elephant search algorithm. Oper. Res. 18(3): 841-863 (2018) - [j28]Suash Deb, Thomas Hanne, Ka-Chun Wong:
Special issue: the International Conference on Soft Computing and Machine Intelligence. Soft Comput. 22(18): 5921-5922 (2018) - [j27]Xin-She Yang, Suash Deb, Yuxin Zhao, Simon Fong, Xingshi He:
Swarm intelligence: past, present and future. Soft Comput. 22(18): 5923-5933 (2018) - [j26]Suash Deb, Zhonghuan Tian, Simon Fong, Rui Tang, Raymond K. Wong, Nilanjan Dey:
Solving permutation flow-shop scheduling problem by rhinoceros search algorithm. Soft Comput. 22(18): 6025-6034 (2018) - [j25]Suash Deb, Zhonghuan Tian, Simon Fong, Raymond K. Wong, Richard C. Millham, Kelvin Kian Loong Wong:
Elephant search algorithm applied to data clustering. Soft Comput. 22(18): 6035-6046 (2018) - [i7]Xin-She Yang, Suash Deb, Yuxin Zhao, Simon Fong, Xingshi He:
Swarm Intelligence: Past, Present and Future. CoRR abs/1804.07999 (2018) - [i6]Xin-She Yang, Suash Deb:
Cuckoo Search: State-of-the-Art and Opportunities. CoRR abs/1806.01631 (2018) - 2017
- [j24]Yanhong Feng, Gai-Ge Wang, Suash Deb, Mei Lu, Xiang-Jun Zhao:
Solving 0-1 knapsack problem by a novel binary monarch butterfly optimization. Neural Comput. Appl. 28(7): 1619-1634 (2017) - [j23]Rizk Masoud Rizk-Allah, Ragab A. El-Sehiemy, Suash Deb, Gai-Ge Wang:
A novel fruit fly framework for multi-objective shape design of tubular linear synchronous motor. J. Supercomput. 73(3): 1235-1256 (2017) - [c16]Iztok Fister, Andrés Iglesias, Suash Deb, Dusan Fister, Iztok Fister Jr.:
Modeling preference time in middle distance triathlons. ISCBI 2017: 65-69 - [i5]Iztok Fister Jr., Dusan Fister, Suash Deb, Uros Mlakar, Janez Brest, Iztok Fister:
Making up for the deficit in a marathon run. CoRR abs/1705.03302 (2017) - [i4]Iztok Fister, Andrés Iglesias, Suash Deb, Dusan Fister, Iztok Fister Jr.:
Modeling preference time in middle distance triathlons. CoRR abs/1707.00718 (2017) - 2016
- [j22]Xin-She Yang, Suash Deb, Simon Fong, Xingshi He, Yuxin Zhao:
From Swarm Intelligence to Metaheuristics: Nature-Inspired Optimization Algorithms. Computer 49(9): 52-59 (2016) - [j21]Simon Fong, Suash Deb, Thomas Hanne, Jinyan (Leo) Li:
Eidetic Wolf Search Algorithm with a global memory structure. Eur. J. Oper. Res. 254(1): 19-28 (2016) - [j20]Gai-Ge Wang, Amir Hossein Gandomi, Amir Hossein Alavi, Suash Deb:
A Multi-Stage Krill Herd Algorithm for Global Numerical Optimization. Int. J. Artif. Intell. Tools 25(2): 1550030:1-1550030:17 (2016) - [j19]Gai-Ge Wang, Suash Deb, Xiao-Zhi Gao, Leandro dos Santos Coelho:
A new metaheuristic optimisation algorithm motivated by elephant herding behaviour. Int. J. Bio Inspired Comput. 8(6): 394-409 (2016) - [j18]Gai-Ge Wang, Suash Deb, Amir Hossein Gandomi, Amir Hossein Alavi:
Opposition-based krill herd algorithm with Cauchy mutation and position clamping. Neurocomputing 177: 147-157 (2016) - [j17]Gai-Ge Wang, Amir Hossein Gandomi, Amir Hossein Alavi, Suash Deb:
A hybrid method based on krill herd and quantum-behaved particle swarm optimization. Neural Comput. Appl. 27(4): 989-1006 (2016) - [j16]Suash Deb, Thomas Hanne, Simon Fong:
Recent advances in machine intelligence. Soft Comput. 20(9): 3347-3348 (2016) - [j15]Gai-Ge Wang, Suash Deb, Amir Hossein Gandomi, Zhaojun Zhang, Amir Hossein Alavi:
Chaotic cuckoo search. Soft Comput. 20(9): 3349-3362 (2016) - [j14]Suash Deb, Simon Fong, Zhonghuan Tian, Raymond K. Wong, Sabah Mohammed, Jinan Fiaidhi:
Finding approximate solutions of NP-hard optimization and TSP problems using elephant search algorithm. J. Supercomput. 72(10): 3960-3992 (2016) - 2015
- [j13]Simon Fong, Suash Deb, Ankit Chaudhary:
A review of metaheuristics in robotics. Comput. Electr. Eng. 43: 278-291 (2015) - [j12]Simon Fong, Suash Deb, Xin-She Yang:
A heuristic optimization method inspired by wolf preying behavior. Neural Comput. Appl. 26(7): 1725-1738 (2015) - [c15]Suash Deb, Simon Fong, Zhonghuan Tian:
Elephant Search Algorithm for optimization problems. ICDIM 2015: 249-255 - 2014
- [j11]Simon Fong, Suash Deb, Raymond K. Wong, Guangmin Sun:
Underwater Sonar Signals Recognition by Incremental Data Stream Mining with Conflict Analysis. Int. J. Distributed Sens. Networks 10 (2014) - [j10]Simon Fong, Suash Deb, Xin-She Yang, Jinyan Li:
Feature Selection in Life Science Classification: Metaheuristic Swarm Search. IT Prof. 16(4): 24-29 (2014) - [j9]Xin-She Yang, Suash Deb, Simon Fong:
Bat Algorithm is Better Than Intermittent Search Strategy. J. Multiple Valued Log. Soft Comput. 22(3): 223-237 (2014) - [j8]Xin-She Yang, Suash Deb:
Cuckoo search: recent advances and applications. Neural Comput. Appl. 24(1): 169-174 (2014) - [c14]Simon Fong, Suash Deb, Io-Weng Chan, P. Vijayakumar:
An event driven neural network system for evaluating public moods from online users' comments. ICADIWT 2014: 239-243 - [c13]Simon Fong, Renfei Luo, Suash Deb, Sabu M. Thampi:
Location-Based Mutual and Mobile Information Navigation System: Lemmings. ISI (2) 2014: 161-171 - [c12]Simon Fong, Suash Deb, Sabu M. Thampi:
Classifying Sonar Signals Using an Incremental Data Stream Mining Methodology with Conflict Analysis. SIRS 2014: 171-182 - [c11]Kam Kin Lao, Suash Deb, Sabu M. Thampi, Simon Fong:
A Novel Disease Outbreak Prediction Model for Compact Spatial-Temporal Environments. SIRS 2014: 439-450 - [c10]Suash Deb, Simon Fong, Sabu M. Thampi:
Framework of Lightweight Secure Media Transfer for Mobile Law Enforcement Apps. SSCC 2014: 211-220 - [i3]Xin-She Yang, Suash Deb:
Cuckoo Search: Recent Advances and Applications. CoRR abs/1408.5316 (2014) - [i2]Xin-She Yang, Suash Deb, Simon Fong:
Bat Algorithm is Better Than Intermittent Search Strategy. CoRR abs/1408.5348 (2014) - 2013
- [j7]Xin-She Yang, Suash Deb:
Multiobjective cuckoo search for design optimization. Comput. Oper. Res. 40(6): 1616-1624 (2013) - [j6]Simon Fong, Zhuang Yan, Rui Tang, Xin-She Yang, Suash Deb:
Selecting Optimal Feature Set in High-Dimensional Data by Swarm Search. J. Appl. Math. 2013: 590614:1-590614:18 (2013) - [j5]Xin-She Yang, Suash Deb, Martin J. Loomes, Mehmet Karamanoglu:
A framework for self-tuning optimization algorithm. Neural Comput. Appl. 23(7-8): 2051-2057 (2013) - [c9]Simon Fong, Xin-She Yang, Suash Deb:
Swarm Search for Feature Selection in Classification. CSE 2013: 902-909 - [c8]Xin-She Yang, Suash Deb, Xingshi He:
Eagle strategy with flower algorithm. ICACCI 2013: 1213-1217 - [i1]Xin-She Yang, Suash Deb, Martin J. Loomes, Mehmet Karamanoglu:
A Framework for Self-Tuning Optimization Algorithm. CoRR abs/1312.5667 (2013) - 2012
- [j4]Amir Hossein Gandomi, Xin-She Yang, Siamak Talatahari, Suash Deb:
Coupled eagle strategy and differential evolution for unconstrained and constrained global optimization. Comput. Math. Appl. 63(1): 191-200 (2012) - [j3]Xin-She Yang, Suash Deb:
Two-stage eagle strategy with differential evolution. Int. J. Bio Inspired Comput. 4(1): 1-5 (2012) - [c7]Rui Tang, Simon Fong, Xin-She Yang, Suash Deb:
Nature-Inspired Clustering Algorithms for Web Intelligence Data. Web Intelligence/IAT Workshops 2012: 147-153 - [c6]Rui Tang, Simon Fong, Xin-She Yang, Suash Deb:
Integrating nature-inspired optimization algorithms to K-means clustering. ICDIM 2012: 116-123 - [c5]Rui Tang, Simon Fong, Xin-She Yang, Suash Deb:
Wolf search algorithm with ephemeral memory. ICDIM 2012: 165-172 - 2011
- [c4]Praveen Ranjan Srivastava, Monica Chis, Suash Deb, Xin-She Yang:
Path Optimization for Software Testing: An Intelligent Approach using Cuckoo Search. IICAI 2011: 725-732 - [c3]Xin-She Yang, Suash Deb, Simon Fong:
Accelerated Particle Swarm Optimization and Support Vector Machine for Business Optimization and Applications. NDT 2011: 53-66 - 2010
- [j2]Xin-She Yang, Suash Deb:
Engineering optimisation by cuckoo search. Int. J. Math. Model. Numer. Optimisation 1(4): 330-343 (2010) - [c2]Xin-She Yang, Suash Deb:
Eagle Strategy Using Lévy Walk and Firefly Algorithms for Stochastic Optimization. NICSO 2010: 101-111
2000 – 2009
- 2009
- [j1]Suash Deb:
A novel alternative to conventional machine vision features. Int. J. Bio Inspired Comput. 1(1/2): 89-92 (2009) - [c1]Xin-She Yang, Suash Deb:
Cuckoo Search via Lévy Flights. NaBIC 2009: 210-214
Coauthor Index
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