Vahid Mokarram
Computational Theory and Mathematics · 2018
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 12 citations into it
- Artificial Intelligence — 10 citations into it
Whom Vahid Mokarram trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Vahid Mokarram's perspective
Ordered by how strongly the researchers Vahid Mokarram trusts endorse each paper. Same corpus, a different order for every researcher.
- Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy (Evolutionary Computation)
- Genetic Algorithms in Search Optimization and Machine Learning
- Genetic Algorithms in Search
- Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
- Indicator-Based Selection in Multiobjective Search (Parallel Problem Solving from Nature)
- Handling multiple objectives with particle swarm optimization (IEEE Transactions on Evolutionary Computation)
- An Efficient Constraint Handling Method for Genetic Algorithms
- Scalable Test Problems for Evolutionary Multiobjective Optimization (Evolutionary Multiobjective Optimization)
- Simulated Binary Crossover for Continuous Search Space
- Constrained Test Problems for Multi-objective Evolutionary Optimization (International Conference on Evolutionary Multi-Criterion Optimization)