Saeed Noshadian
Artificial Intelligence · 2022
A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it
- Computational Theory and Mathematics — 28 citations into it
- Industrial and Manufacturing Engineering — 6 citations into it
Whom Saeed Noshadian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Seyedali Mirjalili
- Carlos Artemio Coello Coello
- Seyed Mohammad Mirjalili
- Kevin M. Passino
- Alex M. Andrew
- G. G. Wang
- Kenneth Sörensen
- Qie He
- Xin-She Yang
- Dervis Karaboga
Papers from Saeed Noshadian's perspective
Ordered by how strongly the researchers Saeed Noshadian trusts endorse each paper. Same corpus, a different order for every researcher.
- No free lunch theorems for optimization
- A new optimizer using particle swarm theory
- Comprehensive learning particle swarm optimizer for global optimization of multimodal functions (IEEE Transactions on Evolutionary Computation)
- Use of a self-adaptive penalty approach for engineering optimization problems
- An improved harmony search algorithm for solving optimization problems
- Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems (Engineering computations)
- THEORETICAL AND NUMERICAL CONSTRAINT-HANDLING TECHNIQUES USED WITH EVOLUTIONARY ALGORITHMS: A SURVEY OF THE STATE OF THE ART
- Optimization by Simulated Annealing
- Mine blast algorithm: A new population based algorithm for solving constrained engineering optimization problems (Applied Soft Computing)
- A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm (Journal of Global Optimization)
Their papers
- INFO: An efficient optimization algorithm based on weighted mean of vectors (2022) — 723 citations