Ali Diabat

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Ali Diabat trusts overall

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

  1. Xin-She Yang
  2. Laith Mohammad Abualigah
  3. James Kennedy
  4. R. Eberhart
  5. Seyedali Mirjalili
  6. Ali Kaveh
  7. Kalyanmoy Deb
  8. John R. Koza
  9. Amir H. Gandomi
  10. Dan Simon

Who trusts Ali Diabat overall

  1. Laith Mohammad Abualigah
  2. Absalom El-Shamir Ezugwu
  3. Jeffrey O. Agushaka

Papers from Ali Diabat's perspective

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

  1. A new optimizer using particle swarm theory
  2. No free lunch theorems for optimization
  3. Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems (Engineering computations)
  4. An Efficient Constraint Handling Method for Genetic Algorithms
  5. Mixed variable structural optimization using Firefly Algorithm
  6. Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition (IEEE Congress on Evolutionary Computation)
  7. Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES)
  8. Biogeography-Based Optimization (IEEE Transactions on Evolutionary Computation)
  9. A novel heuristic optimization method: charged system search
  10. Cuckoo Search via Lévy flights (World Congress on Nature and Biologically Inspired Computing)

Their papers