The exponential distribution optimizer (EDO) represents a heuristic approach, capitalizing on exponential distribution theory to identify global solutions for complex optimization challenges. This ...
Large-scale sparse multi-objective optimization problems are prevalent in numerous real-world scenarios, such as neural network training, sparse regression, pattern mining and critical node detection, ...
What if the most elegant solution to a complex optimization problem was hiding inside a beehive? In 2005, a researcher named Karaboga thought exactly that — and built an algorithm that still holds up ...
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