Jun 14, 2023 · Particle Swarm Optimization and Ant Colony Optimization: Not familiar, but these are also just optimization algorithms as far as I know, and don't think they are necessarily only useful for …

Jan 3, 2024 · Metaheuristic Algorithms: Other metaheuristic algorithms like Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), or Differential Evolution may be worth exploring. As for …

A particle of mass m m is on top of a frictionless hemisphere centered at the origin with radius R R. It starts sliding down the hemisphere. Set up the Lagrange equations of the first kind and determine …

May 5, 2019 · @foxell I better edit the question, I am using particle swarm optimization. It is a heuristic-based method without much analytical background. There is no solid evidence that the solution is a …

Sep 22, 2019 · That being the case, I’d stay away from algorithms that build quadratic approximations of the objective function. I believe your problem may be tackled by heuristics (particle swarm, for …

At very first, you should simplify your problem: Remove the outer square-root, evaluate the inner integral... Afterwards, you should compute the derivative of the function inside the $\argmin$. Then, …

Mar 4, 2019 · If you desperately require the global minimiser, then you have to use derivative-free methods such as Simulated Annealing and Particle Swarm Optimisation. These are more …

Apr 10, 2023 · This is kind of an adaptive particle swarm method. More efficient/smarter way when getting stuck: As Jan have mentioned the computation of Hessian, I will give an alternative. Instead …

Because f∗ f ∗ is defined on the dual space, we see already the fundamental role played by the dual space in duality in convex optimization. Given an optimization problem, we don't obtain a dual …

Apr 10, 2020 · I am looking for optimization books. Can you suggest some good materials? First, I started with Convex Optimization by Stephen Boyd & Lieven Vandenberghe, but I don't like it …