Setting weights for Open Shortest Path First (OSPF) routing protocol is an NP-hard problem. Optimizing these weights leads to less congestion in the network while utilizing link capacities efficiently. In this paper, Simulated Evolution (SimE), a non-deterministic iterative heuristic, is engineered to solve this problem. A cost function that depends on the utilization and the extra load caused ...

An optimal trade-off design for fractional order (FO)-PID controller is proposed with a Linear Quadratic Regulator (LQR) based technique using two conflicting time domain objectives. A class of delayed FO systems with single non-integer order element, exhibiting both sluggish and oscillatory open loop responses, have been controlled here. The FO time delay processes are handled within a multi-o...

Having the possibility to systematically evaluate objectives of different nature at the same time is becoming crucial to operate processes, plants and production sites under more sustainable conditions. Most often, this multi-objective nature is tackled by combining all individual objectives into a global Weighted Sum (WS). This approach is widespread because it is easy to use and understand, b...

We analyse multimodal time-series data corresponding to weight, sleep and steps measurements, spanning 15000 users, collected across consumer-grade health devices by Nokia Digital Health Withings. We focus on predicting whether a user will successfully achieve their weight objective. For this, we design several deep recurrent architectures, including a novel cross-modal LSTM (X-LSTM), and demon...

Objective: The purpose of this study was to describe the effects of obesity (body mass index 95 th percentile) on objective measures of airway obstruction as determined by spirometry. Design: Prospective cross-sectional study. Methods: Two hundred ninty six (Age: 13.6 ± 1.5 Years) children from two middle schools were enrolled. The standing heights and weights in bear-feet were measured, and bo...

This paper proposes an agent model with adaptive weight-based multi-objective algorithm to manage road-network congestion problem. Our focus is to construct a quantitative index series to describe the road-network congestion distribution, and use such indexes as weights in the multi-objective algorithm to shunt vehicles on those congested links. First, a multi-agent system is built, where each ...

OBJECTIVE To examine the amount of objectively measured MVPA and LPA that is associated with long-term weight loss and the maintenance of clinically significant weight loss. METHODS Adults (N = 260; BMI: 25 to <40 kg/m(2) ; age: 18-55 years) participated in an 18-month behavioral weight loss intervention and were prescribed a low-calorie diet and increased physical activity. Change in weight ...

Two-Phase Local Search (TPLS) is a general algorithmic framework for multi-objective optimization. TPLS transforms the multi-objective problem into a sequence of single-objective ones by means of weighted sum aggregations. This paper studies different sequences of weights for defining the aggregated problems for the bi-objective case. In particular, we propose two weight setting strategies that...

Real world engineering design problems are usually characterized by the presence of many conflicting objectives. Therefore, it is natural to look at the engineering design problem as a multiobjective optimization problem. This report summarizes a survey of techniques to conduct multiobjective optimization in an engineering design context. The report starts with discussing some of the difficulti...

Nowadays, with extending applications of bi-layer metallic sheets in different industrial sectors, accurate specification of each layer is very prominent to achieve desired properties. In order to predict behavior of sheets under different forming modes and determining rupture limit and necking, the concept of Forming Limit Diagram (FLD) is used. Optimization problem with objective functions an...