Found 1862 results, showing the newest relevant preprints. Sort by relevancy only.Update me on new preprints

Deep-Learning-Enabled Simulated Annealing for Topology Optimization

This approach sheds light on solving large multi-dimensional optimization problems. Expand abstract.
17 days ago
7/10 relevant
arXiv

Neural network with data augmentation in multi-objective prediction of multi-stage pump

With data augmentation it can be a better prediction model used in solving the optimization problems of multistage pump for next optimization and generalized to finite element analysis optimization problems in future. Expand abstract.
17 days ago
7/10 relevant
arXiv

Accelerating Quantum Approximate Optimization Algorithm using Machine Learning

In QAOA, a parametric quantum circuit and a classical optimizer iterates in a closed loop to solve hard combinatorial optimization problems. Expand abstract.
18 days ago
4/10 relevant
arXiv

Hybridization of interval methods and evolutionary algorithms for solving difficult optimization problems

New optimality results are provided for five multimodal problems, for which few solutions were available in the literature. Expand abstract.
22 days ago
10/10 relevant
arXiv

Strong Evaluation Complexity Bounds for Arbitrary-Order Optimization of Nonconvex Nonsmooth Composite Functions

We introduce the concept of strong high-order approximate minimizers for nonconvex optimization problems. Expand abstract.
23 days ago
4/10 relevant
arXiv

Automatic Repair of Convex Optimization Problems

In this paper, we address this question by posing it as an optimization problem involving the minimization of a convex regularization function of the parameters, subject to the constraint that the parameters result in a solvable problem. Expand abstract.
23 days ago
9/10 relevant
arXiv

Weakly Homogeneous Optimization Problems

This paper investigates a new class of optimization problems whose objective functions are weakly homogeneous relative to the constrain sets. Expand abstract.
26 days ago
9/10 relevant
arXiv

A New Multi-Agent Approach for Solving Optimization Problems with High-Dimensional: Case Study in Email Spam Detection

In overall, the proposed method was tested on 32 complex benchmark functions, the results of which indicated effectiveness and powerfulness of the proposed method for solving the high-dimensional optimization problems. Expand abstract.
27 days ago
10/10 relevant
Preprints.org

Curiosities and counterexamples in smooth convex optimization

Counterexamples to some old-standing optimization problems in the smooth convex coercive setting are provided. Expand abstract.
30 days ago
4/10 relevant
arXiv

A generalization of multiplier rules for infinite-dimensional optimization problems

We provide a generalization of first-order necessary conditions of optimality for infinite-dimensional optimization problems with a finite number of inequality constraints and with a finite number of inequality and equality constraints. Expand abstract.
31 days ago
10/10 relevant
arXiv