This is just a simple example of how to optimize parameters in simulink models; Parallel computing can greatly increase speed. run gamultiobj_GSTA.m (add this folder in your path) recommed MATLAB ...

Abstract: In this paper, we introduce a novel approach for addressing the multi-objective optimization problem in large language model merging via black-box multi-objective optimization algorithms.

Abstract: Expensive multi-objective binary optimization problems frequently emerge in real-world applications, where evaluating a single solution incurs significant computational or physical costs.

Maritime transportation is increasingly being subjected to pressure to balance economic efficiency with environmental sustainability under regulatory frameworks such as global trade demands and the ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

Optimization of traffic flow in a road network using MATLAB's Genetic Algorithm. Applied to a nonlinear objective function with equality constraints ...

Neural network pruning is a key technique for deploying artificial intelligence (AI) models based on deep neural networks (DNNs) on resource-constrained platforms, such as mobile devices. However, ...