Shokooh Taghian

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shokooh Taghian trusts overall

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

  1. Seyedali Mirjalili
  2. R. Eberhart
  3. Dervis Karaboga
  4. Amir H. Gandomi
  5. Andrew Lewis
  6. Marco Dorigo
  7. Shahrzad Saremi
  8. Helena Ramalhinho Lourenço
  9. Hossam Faris
  10. Jing J. Liang

Papers from Shokooh Taghian's perspective

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

  1. A new optimizer using particle swarm theory
  2. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
  3. A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms (Swarm and Evolutionary Computation)
  4. GSA: A Gravitational Search Algorithm (Information Sciences)
  5. Comprehensive learning particle swarm optimizer for global optimization of multimodal functions (IEEE Transactions on Evolutionary Computation)
  6. Krill herd: A new bio-inspired optimization algorithm
  7. Grey Wolf Optimizer (Advances in Engineering Software)
  8. A novel heuristic optimization method: charged system search
  9. Metaheuristics - the metaphor exposed (International Transactions in Operational Research)
  10. Iterated Local Search (Handbook of Metaheuristics)

Their papers