Abstract: In this paper, demand response problems are discussed based on mixed integer nonlinear programming. The considered demand response problems are defined as multi objective nonlinear ...

Mixed-integer nonlinear programming (MINLP) optimisation constitutes a critical methodology in tackling complex decision-making problems where both discrete choices and continuous variables are ...

Two speakers who are engaged in mathematical optimization software development at Zuse Institute Berlin, Germany will give a lecture. We look forward to your participation. Speaker : Dr.Stefan ...

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ABSTRACT: Quadratic Programming (QP) is a mathematical modeling technique designed to optimize the usage of limited resources and has been widely applied to solve real world problems. In conventional ...

Abstract: This paper presents an improved particle swarm optimization for solving interval nonlinear programming, and considers the nonlinear programming problem, which is based on immune algorithm.

ABSTRACT: In this paper, we propose a retrospective filter trust region algorithm for unconstrained optimization, which is based on the framework of the retrospective trust region method and ...