IEEE Transactions on Evolutionary Computation

1.9k papers and 211.3k indexed citations
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The 1.9k papers published in IEEE Transactions on Evolutionary Computation in the last decades have received a total of 211.3k indexed citations. Papers published in IEEE Transactions on Evolutionary Computation usually cover Artificial Intelligence (1.4k papers), Computational Theory and Mathematics (938 papers) and Management Science and Operations Research (185 papers) specifically the topics of Metaheuristic Optimization Algorithms Research (1.1k papers), Evolutionary Algorithms and Applications (909 papers) and Advanced Multi-Objective Optimization Algorithms (892 papers). The most active scholars publishing in IEEE Transactions on Evolutionary Computation are Kalyanmoy Deb, Sakshi Agarwal, Amrit Pratap, Qingfu Zhang, William G. Macready, David H. Wolpert, Xin Yao, Hui Li, Ponnuthurai Nagaratnam Suganthan and Eckart Zitzler.

In The Last Decade

IEEE Transactions on Evolutionary Computation

1.8k papers receiving 199.7k citations

Fields of papers published in IEEE Transactions on Evolutionary Computation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in IEEE Transactions on Evolutionary Computation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in IEEE Transactions on Evolutionary Computation.

Countries where authors publish in IEEE Transactions on Evolutionary Computation

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Citations

This map shows the geographic impact of research published in IEEE Transactions on Evolutionary Computation. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in IEEE Transactions on Evolutionary Computation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites IEEE Transactions on Evolutionary Computation more than expected).

A fast and elitist multiobjective genetic algorithm: NSGA-II 1997 2026 2006 2016 27.6k
  1. A fast and elitist multiobjective genetic algorithm: NSGA-II (2002)
  2. No free lunch theorems for optimization (1997)
  3. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition (2007)
  4. Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach (1999)
  5. The particle swarm - explosion, stability, and convergence in a multidimensional complex space (2002)
  6. An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints (2013)
  7. Ant colony system: a cooperative learning approach to the traveling salesman problem (1997)
  8. Differential Evolution: A Survey of the State-of-the-Art (2010)
  9. Biogeography-Based Optimization (2008)
  10. Handling multiple objectives with particle swarm optimization (2004)
  11. Comprehensive learning particle swarm optimizer for global optimization of multimodal functions (2006)
  12. Performance assessment of multiobjective optimizers: an analysis and review (2003)
  13. Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization (2008)
  14. Evolutionary programming made faster (1999)
  15. JADE: Adaptive Differential Evolution With Optional External Archive (2009)
  16. Self-Organizing Hierarchical Particle Swarm Optimizer With Time-Varying Acceleration Coefficients (2004)
  17. Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems (2006)
  18. Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II (2008)
  19. Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems (2008)
  20. A Cooperative Approach to Particle Swarm Optimization (2004)
  21. The Fully Informed Particle Swarm: Simpler, Maybe Better (2004)
  22. Learning and optimization using the clonal selection principle (2002)
  23. The compact genetic algorithm (1999)
  24. Chemical-Reaction-Inspired Metaheuristic for Optimization (2009)
  25. Complex Network Clustering by Multiobjective Discrete Particle Swarm Optimization Based on Decomposition (2013)

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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