Abstract Mungojerrie is an extensible tool that provides a framework to translate linear-time objectives into reward for reinforcement learning (RL). The convergent RL algorithms stochastic games, reference implementations of existing translations $$\omega $$ ω -regular objectives, and internal probabilistic ...

land use planning is the process of allocating different land uses and activities to the special units of land. so we face with two problems of assigning kind of activity and location of it. by considering the role of industries in development, employment and environment, we consider industrial and especially intensive energy industries planning as a multi objective optimization problem. in thi...

We propose a novel iterative method for optimally placing and orienting multiple cameras in 3D scene. Sample applications include improving the accuracy of reconstruction, maximizing covered area surveillance, or coverage multi-viewpoint pedestrian tracking. Our algorithm is based on block-coordinate ascent combined with surrogate function an exclusion technique. This allows to flexibly handle ...

This paper presents a novel multi objective model for optimizing the purchase decision of a cloud computing services customer. The providers are typically offering consumers cloud computing varying information systems services. The cloud services consist of different functionalities at varying costs, and varying reliability. So the customer’s main objectives (based on the literature) are to max...

this paper addresses a multi-criteria decision based methodology to develop a road network cost function for route finding analysis in a geographic information system (gis). over the years, several studies relating to route planning process in gis and intelligent transportation systems (its) have been conducted, most of which rely on the use of one-dimensional variables like distance or time as...

Background and Objectives: In this paper, a real life nurse scheduling model is described based on the conditions in Iranian hospitals such as monthly shift rotation, consecutive morning and evening shifts and consecutive evening and night shift.   Methods: The developed model considers both hospital constraints and nurses’ preferences. Hospital constraints include assigning adequate qualifie...

Designing supervised learning systems is in general a multi-objective optimization problem. It requires finding appropriate trade-offs between several objectives, for example between model complexity and accuracy or sensitivity and specificity. We consider the adaptation of kernel and regularization parameters of support vector machines (SVMs) by means of multi-objective evolutionary optimizati...

Multi objective quadratic fractional programming (MOQFP) problem involves optimization of several objective functions in the form of a ratio of numerator and denominator functions which involve both contains linear and quadratic forms with the assumption that the set of feasible solutions is a convex polyhedral with a nite number of extreme points and the denominator part of each of the objecti...

The integration of marketing and demand with logistics and inventories (supply side of companies) may cause multiple improvements; it can revolutionize the management of the revenue of rental companies, hotels, and airlines. In this paper, we develop a multi-objective pricing-inventory model for a retailer. Maximizing the retailer's profit and the service level are the objectives, and shorta...