Swagatam Das

Artificial Intelligence · 2005–2023

A researcher in the Science corpus: 14 papers; trusts 134 researchers and is trusted by 62 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 395 citations into it; #3,386 of 35,345 by trust here, #4,190 by citations
• Computational Theory and Mathematics — 282 citations into it; #484 of 12,182 by trust here, #414 by citations
• Electrical and Electronic Engineering — 33 citations into it
• Biomedical Engineering — 29 citations into it
• Control and Systems Engineering — 28 citations into it
• Industrial and Manufacturing Engineering — 25 citations into it
• Numerical Analysis — 20 citations into it
• Management Science and Operations Research — 16 citations into it

Whom Swagatam Das trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ponnuthurai Nagaratnam Suganthan
2. Kalyanmoy Deb
3. Jouni Lampinen
4. A. K. Qin
5. Xin Yao
6. Janez Brest
7. John H. Holland
8. Rammohan Mallipeddi
9. Hussein A. Abbass
10. Zhenyu Yang

Who trusts Swagatam Das overall

1. Pinar Çivicioglu
2. Ponnuthurai Nagaratnam Suganthan
3. Wenyin Gong
4. Janez Brest
5. Naveed Akhtar
6. Gaige Wang
7. Yong Wang
8. Ali Wagdy Mohamed
9. Guohua Wu
10. Ferrante Neri

Papers from Swagatam Das's perspective

Ordered by how strongly the researchers Swagatam Das trusts endorse each paper. Same corpus, a different order for every researcher.

1. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
2. No free lunch theorems for optimization
3. Genetic Algorithms in Search Optimization and Machine Learning
4. A fast and elitist multiobjective genetic algorithm: NSGA-II
5. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization
6. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
7. Evolutionary programming made faster
8. ImageNet classification with deep convolutional neural networks
9. An Efficient Constraint Handling Method for Genetic Algorithms
10. Self-adaptive differential evolution algorithm for numerical optimization (IEEE Congress on Evolutionary Computation)

Their papers

• Differential Evolution: A Survey of the State-of-the-Art (2011) — 5,100 citations
• Recent advances in differential evolution - An updated survey (2016) — 1,504 citations
• A Distance-Based Locally Informed Particle Swarm Model for Multimodal Optimization (2013) — 376 citations
• Real-parameter evolutionary multimodal optimization - A survey of the state-of-the-art (2011) — 318 citations
• Two improved differential evolution schemes for faster global search (2005) — 393 citations
• Differential Evolution Using a Neighborhood-Based Mutation Operator (2009) — 1,190 citations
• A test-suite of non-convex constrained optimization problems from the real-world and some baseline results (2020) — 478 citations
• An Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization (2012) — 597 citations
• Bacterial Foraging Optimization Algorithm: Theoretical Foundations, Analysis, and Applications (2009) — 512 citations
• Particle Swarm Optimization and Differential Evolution Algorithms: Technical Analysis, Applications and Hybridization Perspectives (2008) — 478 citations
• An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges (2023) — 567 citations
• Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review (2020) — 480 citations
• Bio-inspired computation: Where we stand and what's next (2019) — 551 citations
• Problem Definitions and Evaluation Criteria for CEC 2011 Competition on Testing Evolutionary Algorithms on Real World Optimization Problems (2011) — 367 citations