Mehmet Karamanoglu
Artificial Intelligence · 2013–2022
A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 37 citations into it; #11,067 of 35,345 by trust here, #16,166 by citations
- Industrial and Manufacturing Engineering — 28 citations into it
- Computational Theory and Mathematics — 27 citations into it; #6,880 of 12,182 by trust here, #5,046 by citations
- Civil and Structural Engineering — 9 citations into it; #2,937 of 6,160 by trust here, #3,302 by citations
- Molecular Biology — 6 citations into it
- Biomedical Engineering — 5 citations into it; #3,270 of 10,734 by trust here, #8,044 by citations
Whom Mehmet Karamanoglu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xin-She Yang
- Zong Woo Geem
- Kalyanmoy Deb
- David E. Goldberg
- Tapabrata Ray
- Ilya Pavlyukevich
- John H. Holland
- Kaisa Miettinen
- Amir H. Gandomi
- B. Glover
Who trusts Mehmet Karamanoglu overall
- Arpan Kumar Kar
- Xin-She Yang
- Iztok Fister
- J. Prasanth Ram
- Yusuke Watanabe
- Seyedali Mirjalili
- Xianbing Meng
Papers from Mehmet Karamanoglu's perspective
Ordered by how strongly the researchers Mehmet Karamanoglu trusts endorse each paper. Same corpus, a different order for every researcher.
- Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
- A fast and elitist multiobjective genetic algorithm: NSGA-II
- A New Heuristic Optimization Algorithm: Harmony Search
- Nonlinear multiobjective optimization
- The harmony search heuristic algorithm for discrete structural optimization
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- Genetic Algorithms in Search Optimization and Machine Learning
- Multiobjective optimization Test Instances for the CEC 2009 Special Session and Competition
- A Swarm Metaphor for Multiobjective Design Optimization
- An improved particle swarm optimizer for mechanical design optimization problems
Their papers
- Multi-Objective Flower Algorithm for Optimization (2014) — 384 citations
- Swarm Intelligence and Bio-Inspired Computation (2013) — 328 citations
- Flower pollination algorithm: A novel approach for multiobjective optimization (2014) — 594 citations
- Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects (2022) — 762 citations