Irfan Younas
Artificial Intelligence · 2020
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 78 citations into it
- Computational Theory and Mathematics — 52 citations into it
Whom Irfan Younas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Irfan Younas's perspective
Ordered by how strongly the researchers Irfan Younas trusts endorse each paper. Same corpus, a different order for every researcher.
- Genetic Algorithms in Search Optimization and Machine Learning
- No free lunch theorems for optimization
- Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
- Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization
- An Efficient Constraint Handling Method for Genetic Algorithms
- A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms (Swarm and Evolutionary Computation)
- A new optimizer using particle swarm theory
- Swarm Intelligence (Lecture Notes in Computer Science)
- Genetic Algorithms in Search
- Stochastic ranking for constrained evolutionary optimization (IEEE Transactions on Evolutionary Computation)
Their papers
- Political Optimizer: A novel socio-inspired meta-heuristic for global optimization (2020) — 518 citations
- Heap-based optimizer inspired by corporate rank hierarchy for global optimization (2020) — 335 citations