Seyedeh Zahra Mirjalili

Artificial Intelligence · 2014–2017

A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 107 citations into it; #15,372 of 35,345 by trust here, #7,858 by citations
• Computational Theory and Mathematics — 101 citations into it; #4,857 of 12,182 by trust here, #949 by citations
• Biomedical Engineering — 7 citations into it
• Industrial and Manufacturing Engineering — 6 citations into it
• Numerical Analysis — 5 citations into it

Whom Seyedeh Zahra Mirjalili trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kalyanmoy Deb
2. Xin-She Yang
3. Eckart Zitzler
4. Carlos Artemio Coello Coello
5. Seyedali Mirjalili
6. Wen-Tsao Pan
7. Shahrzad Saremi
8. Joshua D. Knowles
9. Lothar Thiele
10. Qingfu Zhang

Who trusts Seyedeh Zahra Mirjalili overall

1. Tansel Dökeroğlu
2. Soheyl Khalilpourazari
3. Ayça Deniz
4. Mohammad-Hossein Nadimi-Shahraki
5. Ali Asghar Heidari
6. Laith Mohammad Abualigah
7. Hakan Ezgi Kiziloz
8. Abolfazl Mirzazadeh

Papers from Seyedeh Zahra Mirjalili's perspective

Ordered by how strongly the researchers Seyedeh Zahra Mirjalili trusts endorse each paper. Same corpus, a different order for every researcher.

1. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
2. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
3. A fast and elitist multiobjective genetic algorithm: NSGA-II
4. Genetic Algorithms in Search Optimization and Machine Learning
5. Scalable multi-objective optimization test problems (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
6. SPEA2: Improving the strength pareto evolutionary algorithm
7. Evolutionary many-objective optimization: A short review (2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence))
8. Evolutionary dynamic optimization: A survey of the state of the art (Swarm and Evolutionary Computation)
9. Evolutionary algorithms in theory and practice - evolution strategies, evolutionary programming, genetic algorithms
10. Multiobjective optimization Test Instances for the CEC 2009 Special Session and Competition

Their papers

• Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems (2017) — 4,481 citations
• Grasshopper optimization algorithm for multi-objective optimization problems (2017) — 688 citations
• Evolutionary population dynamics and grey wolf optimizer (2014) — 354 citations
• Optimization of problems with multiple objectives using the multi-verse optimization algorithm (2017) — 339 citations