18 citations · 25 across the 11 of their papers we have counts for
4 papers · 1 filter
Image-Based Benchmarking and Visualization for Large-Scale Global Optimization
Kyle Robert Harrison, Azam Asilian Bidgoli, Shahryar Rahnamayan +1
In the context of optimization, visualization techniques can be useful for understanding the behaviour of optimization algorithms and can even provide a means to facilitate human i…
Towards Solving Large-scale Expensive Optimization Problems Efficiently Using Coordinate Descent Algorithm
Shahryar Rahnamayan, Seyed Jalaleddin Mousavirad
Many real-world problems are categorized as large-scale problems, and metaheuristic algorithms as an alternative method to solve large-scale problem; they need the evaluation of ma…
Opposition based Ensemble Micro Differential Evolution
Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh
Differential evolution (DE) algorithm with a small population size is called Micro-DE (MDE). A small population size decreases the computational complexity but also reduces the exp…
Learning Opposites with Evolving Rules
Hamid R. Tizhoosh, Shahryar Rahnamayan
The idea of opposition-based learning was introduced 10 years ago. Since then a noteworthy group of researchers has used some notions of oppositeness to improve existing optimizati…