Gang Li

Artificial Intelligence · with Meng · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gang Li trusts overall

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

  1. Seyedali Mirjalili
  2. Ali Kaveh

Papers from Gang Li's perspective

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

  1. Genetic Algorithms in Search Optimization and Machine Learning
  2. No free lunch theorems for optimization
  3. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
  4. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization
  5. A new optimizer using particle swarm theory
  6. A New Heuristic Optimization Algorithm: Harmony Search
  7. Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems (Engineering computations)
  8. Exploration and exploitation in evolutionary algorithms: A survey (CSUR)
  9. Swarm Intelligence: From Natural to Artificial Systems
  10. A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms (Swarm and Evolutionary Computation)

Their papers