Meenakshi Garg

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Meenakshi Garg trusts overall

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

  1. Ali Kaveh
  2. Seyedali Mirjalili
  3. Abdolreza Hatamlou
  4. Seyed Mohammad Mirjalili
  5. Bilal Alatas
  6. Xin-She Yang
  7. Marco Dorigo
  8. Gaurav Dhiman

Papers from Meenakshi Garg's perspective

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

  1. No free lunch theorems for optimization
  2. A New Heuristic Optimization Algorithm: Harmony Search
  3. Black hole: A new heuristic optimization approach for data clustering (Information Sciences)
  4. Size optimization of space trusses using Big Bang-Big Crunch algorithm
  5. Optimization by Simulated Annealing
  6. A new optimization method: Big Bang-Big Crunch (Advances in Engineering Software)
  7. Genetic Programming: On the Programming of Computers by Means of Natural Selection
  8. Ant colony optimization (IEEE Computational Intelligence Magazine)
  9. Biogeography-Based Optimization (IEEE Transactions on Evolutionary Computation)
  10. On benchmarking functions for genetic algorithms (International Journal of Computational Mathematics)

Their papers