Junmin Song

Artificial Intelligence · 2016

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 Junmin Song trusts overall

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

  1. Xin-She Yang
  2. Carlos Artemio Coello Coello
  3. Ali Kaveh
  4. Kalyanmoy Deb
  5. Ilya Pavlyukevich
  6. Seyedali Mirjalili
  7. Ramin Rajabioun

Papers from Junmin Song's perspective

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

  1. No free lunch theorems for optimization
  2. An Efficient Constraint Handling Method for Genetic Algorithms
  3. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
  4. GSA: A Gravitational Search Algorithm (Information Sciences)
  5. A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms (Swarm and Evolutionary Computation)
  6. Evolutionary programming made faster
  7. A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm (Journal of Global Optimization)
  8. A novel heuristic optimization method: charged system search
  9. Use of a self-adaptive penalty approach for engineering optimization problems
  10. A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice

Their papers