Amir Seyyedabbasi

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Amir Seyyedabbasi trusts overall

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

  1. Seyedali Mirjalili
  2. Xin-She Yang
  3. Abdolreza Hatamlou
  4. James Kennedy
  5. Andrew Lewis
  6. Esmat Rashedi
  7. Shu-Chuan Chu
  8. Carlos Artemio Coello Coello
  9. R. Eberhart
  10. Amir H. Gandomi

Papers from Amir Seyyedabbasi's perspective

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

  1. No free lunch theorems for optimization
  2. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
  3. A study of particle swarm optimization particle trajectories (Information Sciences)
  4. Genetic Algorithms in Search Optimization and Machine Learning
  5. GSA: A Gravitational Search Algorithm (Information Sciences)
  6. CENTRAL FORCE OPTIMIZATION: A NEW META-HEURISTIC WITH APPLICATIONS IN APPLIED ELECTROMAGNETICS
  7. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization
  8. Grey Wolf Optimizer (Advances in Engineering Software)
  9. A new optimization method: Big Bang-Big Crunch (Advances in Engineering Software)
  10. Black hole: A new heuristic optimization approach for data clustering (Information Sciences)

Their papers