My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

Explore zero-one integer programming, a key method in logical problem-solving, using binary choices for optimal decisions in finance, production, and more.

Abstract: This paper studies the trajectory planning problem for Unmanned Aerial Vehicles (UAVs) to avoid randomly moving obstacles. We model the problem in a chance-constrained trajectory ...

The objective of the 3D-SCALO problem is to assign the given components to optimal mounting surfaces and position them at the best locations, while satisfying the requirements for (1) heat dissipation ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...

Department of Chemical and Biomolecular Engineering, University of Connecticut, Storrs, Connecticut 06269, United States Center for Clean Energy Engineering, University of Connecticut, Storrs, ...

How to solve linear programming and quadratic programming with inequality constraint only? For LP, I tried to use OSQP and pass the objective as (None, -c), the equality constraint as (None, None), ...

Abstract: In this article, we deal with stochastic optimization problems where the data distributions change in response to the decision variables. Traditionally, the study of optimization problems ...

Linear multiplicative models are popular tools for analyzing data with positive responses. However, the linear structure of models is too restrictive on the regression relation, which may lead to a ...

School of Mechanical and Electrical Engineering, Xi’an Polytechnic University, Xi’an, China Existing assembly analysis methods often fail to accurately capture ...