Shahrzad Saremi
Artificial Intelligence · 2014–2017
A researcher in the Science corpus: 8 papers; trusts 50 researchers and is trusted by 34 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 177 citations into it; #5,820 of 35,345 by trust here, #4,420 by citations
- Computational Theory and Mathematics — 170 citations into it; #1,606 of 12,182 by trust here, #434 by citations
- Statistics and Probability — 15 citations into it
- Management Science and Operations Research — 13 citations into it
- Biomedical Engineering — 11 citations into it; #3,308 of 10,734 by trust here, #7,436 by citations
- Civil and Structural Engineering — 10 citations into it; #5,868 of 6,160 by trust here, #1,641 by citations
- Evaluation & Benchmarks — 10 citations into it
- Industrial and Manufacturing Engineering — 10 citations into it
Whom Shahrzad Saremi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xin-She Yang
- Seyedali Mirjalili
- Ali Kaveh
- Carlos Artemio Coello Coello
- Kalyanmoy Deb
- Wen-Tsao Pan
- Andrew Lewis
- Amir H. Gandomi
- Esmat Rashedi
- Suash Deb
Who trusts Shahrzad Saremi overall
- Seyedali Mirjalili
- Tansel Dökeroğlu
- Sankalap Arora
- Gai-ge Wang
- Seyedeh Zahra Mirjalili
- Mohammad-Hossein Nadimi-Shahraki
- Soheyl Khalilpourazari
- Ali Asghar Heidari
- Suash Deb
- Shangce Gao
Papers from Shahrzad Saremi's perspective
Ordered by how strongly the researchers Shahrzad Saremi trusts endorse each paper. Same corpus, a different order for every researcher.
- Genetic Algorithms in Search Optimization and Machine Learning
- Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
- Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
- Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization
- A new optimizer using particle swarm theory
- A fast and elitist multiobjective genetic algorithm: NSGA-II
- No free lunch theorems for optimization
- Genetic Algorithms in Search
- Scalable multi-objective optimization test problems (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
- Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy (Evolutionary Computation)
Their papers
- Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems (2017) — 4,481 citations
- Grasshopper Optimisation Algorithm: Theory and application (2017) — 2,387 citations
- Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems (2016) — 658 citations
- Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization (2016) — 1,653 citations
- Grasshopper optimization algorithm for multi-objective optimization problems (2017) — 688 citations
- Evolutionary population dynamics and grey wolf optimizer (2014) — 354 citations
- Biogeography-based optimisation with chaos (2014) — 316 citations
- Optimization of problems with multiple objectives using the multi-verse optimization algorithm (2017) — 339 citations