Marjan Mernik

Artificial Intelligence · 2005–2013

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Marjan Mernik trusts overall

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

  1. Eelco Visser
  2. Krzysztof Czarnecki
  3. Xin Yao
  4. David E. Goldberg

Who trusts Marjan Mernik overall

  1. Alberto Manuel Rodrigues da Silva
  2. Igor L. Markov
  3. Lennart C. L. Kats
  4. Naouel Moha
  5. Swagatam Das
  6. Eelco Visser
  7. Wenyin Gong
  8. Janez Brest
  9. Ferrante Neri
  10. Weifeng Gao

Papers from Marjan Mernik's perspective

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

  1. Genetic Algorithms in Search Optimization and Machine Learning
  2. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
  3. Handbook Of Genetic Algorithms
  4. Evolutionary programming using mutations based on the Levy probability distribution (IEEE Transactions on Evolutionary Computation)
  5. JADE: Adaptive Differential Evolution With Optional External Archive (IEEE Transactions on Evolutionary Computation)
  6. A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems (Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753))
  7. DE/EDA: A new evolutionary algorithm for global optimization (Information Sciences)
  8. DMS®: Program Transformations for Practical Scalable Software Evolution (International Workshop on Principles of Software Evolution)
  9. A Fuzzy Adaptive Differential Evolution Algorithm (2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering. TENCOM '02. Proceedings.)
  10. Program Transformation with Stratego/XT: Rules, Strategies, Tools, and Systems in Stratego/XT 0.9 (Domain-Specific Program Generation)

Their papers