Giorgos Karafotias
Artificial Intelligence · 2015
A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it; #28,650 of 35,345 by trust here, #29,412 by citations
- Computational Theory and Mathematics — 17 citations into it; #9,820 of 12,182 by trust here, #8,756 by citations
- Optimization & Training — 5 citations into it
Whom Giorgos Karafotias trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nikolaus Hansen
- Hussein A. Abbass
- Carlos Artemio Coello Coello
- Jason Teo
- Agoston E. Eiben
- A. K. Qin
- Anne Auger
- Junhong Liu
- Jingqiao Zhang
- Raziyeh Farmani
Who trusts Giorgos Karafotias overall
Papers from Giorgos Karafotias's perspective
Ordered by how strongly the researchers Giorgos Karafotias trusts endorse each paper. Same corpus, a different order for every researcher.
- Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
- The self-adaptive Pareto differential evolution algorithm (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
- Parameter Control in Evolutionary Algorithms
- Self-adaptive differential evolution algorithm for numerical optimization (IEEE Congress on Evolutionary Computation)
- Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems (IEEE Transactions on Evolutionary Computation)
- Covariance Matrix Adaptation for Multi-objective Optimization (Evolutionary Computation)
- A Fuzzy Adaptive Differential Evolution Algorithm (2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering. TENCOM '02. Proceedings.)
- A fast and elitist multiobjective genetic algorithm: NSGA-II
- The CMA Evolution Strategy: A Comparing Review
- Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES)
Their papers
- Parameter Control in Evolutionary Algorithms: Trends and Challenges (2015) — 468 citations