Satvir Singh

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Satvir Singh trusts overall

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

  1. Xin-She Yang
  2. Carlos Artemio Coello Coello
  3. Kalyanmoy Deb
  4. Dervis Karaboga
  5. Amir H. Gandomi
  6. James Kennedy
  7. El-Ghazali Talbi
  8. David E. Goldberg
  9. Thomas Bäck
  10. Qie He

Who trusts Satvir Singh overall

  1. Jeffrey O. Agushaka
  2. Tansel Dökeroğlu

Papers from Satvir Singh's perspective

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

  1. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
  2. Genetic Algorithms in Search Optimization and Machine Learning
  3. An Efficient Constraint Handling Method for Genetic Algorithms
  4. No free lunch theorems for optimization
  5. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization
  6. Metaheuristics: From Design to Implementation
  7. Use of a self-adaptive penalty approach for engineering optimization problems
  8. Genetic Algorithms in Search
  9. GSA: A Gravitational Search Algorithm (Information Sciences)
  10. Constraint-handling in genetic algorithms through the use of dominance-based tournament selection (Advanced Engineering Informatics)

Their papers