Mehmet Fatih Tasgetiren
Artificial Intelligence · 2007–2020
A researcher in the Science corpus: 7 papers; trusts 14 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 33 citations into it; #13,243 of 35,345 by trust here, #12,761 by citations
- Computational Theory and Mathematics — 22 citations into it; #4,376 of 12,182 by trust here, #3,033 by citations
- Computer Networks and Communications — 17 citations into it
- Industrial and Manufacturing Engineering — 12 citations into it; #602 of 2,521 by trust here, #812 by citations
- Information Systems — 9 citations into it
- Civil and Structural Engineering — 8 citations into it
- Electrical and Electronic Engineering — 8 citations into it
- Statistics and Probability — 6 citations into it
Whom Mehmet Fatih Tasgetiren trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- R. Eberhart
- Chandrasekharan Rajendran
- Godfrey C. Onwubolu
- Rubén Ruiz
- Frans van den Bergh
- James Kennedy
- Pierre Hansen
- Eric R. Ziegel
- Mohammad Ali Abido
- Hans-Peter Ziegler
Who trusts Mehmet Fatih Tasgetiren overall
- Quan-Ke Pan
- Konstantinos E. Parsopoulos
- Rubén Ruiz
- James Jian Qiao Yu
- Ryoji Tanabe
- Fei Kang
- Pinar Çivicioglu
- Swagatam Das
- Victor O. K. Li
- Yu-yan Han
Papers from Mehmet Fatih Tasgetiren's perspective
Ordered by how strongly the researchers Mehmet Fatih Tasgetiren trusts endorse each paper. Same corpus, a different order for every researcher.
- A new optimizer using particle swarm theory
- The NP-Completeness Column: An Ongoing Guide
- Cooperative learning in neural networks using particle swarm optimizers (S. Afr. Comput. J.)
- A genetic algorithm for flowshop sequencing
- Variable neighborhood search (European Journal of Operational Research)
- TWO NEW ROBUST GENETIC ALGORITHMS FOR THE FLOWSHOP SCHEDULING PROBLEM
- A very fast tabu search algorithm for the permutation flow shop problem with makespan criterion (Computers & Operations Research)
- Design and Analysis of Experiments
- Ant-colony algorithms for permutation flowshop scheduling to minimize makespan/total flowtime of jobs (European Journal of Operational Research)
- Semisupervised Deep Reinforcement Learning in Support of IoT and Smart City Services
Their papers
- Differential evolution algorithm with ensemble of parameters and mutation strategies (2011) — 1,324 citations
- A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem (2011) — 611 citations
- A self-adaptive global best harmony search algorithm for continuous optimization problems (2010) — 378 citations
- Future Trends and Current State of Smart City Concepts: A Survey (2020) — 319 citations
- A discrete particle swarm optimization algorithm for the no-wait flowshop scheduling problem (2008) — 468 citations
- A particle swarm optimization algorithm for makespan and total flowtime minimization in the permutation flowshop sequencing problem (2007) — 570 citations
- A discrete differential evolution algorithm for the permutation flowshop scheduling problem (2007) — 313 citations