Mohammad Dehghani

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 4 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammad Dehghani trusts overall

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

  1. Seyedali Mirjalili
  2. Andrew Lewis
  3. Afshin Faramarzi
  4. Bilal Alatas
  5. Esmat Rashedi
  6. James Kennedy
  7. David E. Goldberg
  8. Xin Yao
  9. Malik Braik
  10. Mohammad Heidarinejad

Papers from Mohammad Dehghani's perspective

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

  1. No free lunch theorems for optimization
  2. Optimization by Simulated Annealing
  3. Genetic Algorithms in Search Optimization and Machine Learning
  4. Individual Comparisons by Ranking Methods
  5. A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm (Journal of Global Optimization)
  6. A new optimization method: Big Bang-Big Crunch (Advances in Engineering Software)
  7. Exploration and exploitation in evolutionary algorithms: A survey (CSUR)
  8. Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm (Swarm and Evolutionary Computation)
  9. A new optimizer using particle swarm theory
  10. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization

Their papers