Distributed Constraint Optimisation and Search Algorithms form a vital framework for addressing complex decision‐making and scheduling problems in multi-agent systems. These algorithms distribute ...

Sequential optimality conditions for constrained optimization are necessarily satisfied by local minimizers, independently of the fulfillment of constraint qualifications. These conditions support the ...

Despite the global acceleration in digital transformations across organizations in various sectors, many banks and bigger ...

This is a preview. Log in through your library . Abstract We propose a new algorithm for the nonlinear inequality constrained minimization problem, and prove that it generates a sequence converging to ...

Purdue faculty dedicate countless hours to exploring the frontiers of their respective fields, pushing the boundaries of knowledge and contributing to the ever-evolving landscape of academia. To ...

On Monday the 2nd of December 2019, M.Sc. Paul Saikko will defend his doctoral thesis on Implicit Hitting Set Algorithms for Constraint Optimization. The thesis is a part of research done in the ...

Students will learn about the most common numerical optimization algorithms for solving smooth unconstrained and constrained optimization problems. They will understand the theoretical foundation and ...

On December 2, 2019 Saikko successfully defended his doctoral thesis Im­pli­cit Hit­ting Set Algorithms for Con­straint Op­tim­iz­a­tion M.Sc. Paul Saikko succesfully defended his doctoral ...