We study policy optimization problems for deterministic Markov decision processes (MDPs) with metric state and action spaces, which we refer to as (MPOPs). Our goal is establish theoretical results on the well-posedness of MPOPs that can characterize practically relevant continuous control systems. To do so, define a special class called compactly restrictable (CR-MPOPs), are flexible enough ca...

Numerous studies consider combinatorial optimization problems and their solution methods, since a large number of practical are described by means models. Among these problems, the most prominent ones function on configurations. Many mentioned above propose approaches describe methods to solve for linear fractionally functions sets such as permutations arrangements. This work describes new some...

one of the problems that sometimes occur in gas allocation optimization is instability phenomenon. this phenomenon reduces the oil production and damages downhole and surface facilities. different works have studied the stability and suggested some solutions to override it, but most of them (such as making the well intelligent) are very expensive and thus they are not applicable to many cases. ...

The Economic Load Dispatch (ELD) problems in power generation systems are to reduce the fuel cost by reducing the total cost for the generation of electric power. This paper presents an efficient Modified Firefly Algorithm (MFA), for solving ELD Problem. The main objective of the problems is to minimize the total fuel cost of the generating units having quadratic cost functions subjected to lim...

‎In this paper‎, ‎we propose an algorithm to obtain an approximation set of the (weakly) nondominated points of nonsmooth multiobjective optimization problems with equality and inequality constraints‎. ‎We use an extension of the Wolfe duality to construct the separating hyperplane in Benson's outer algorithm for multiobjective programming problems with subdifferentiable functions‎. ‎We also fo...