We present a new local optimizer called SOP-3-exchange for the sequential ordering problem that extends a local search for the traveling salesman problem to handle multiple constraints directly without increasing computational complexity. An algorithm that combines the SOP-3-exchange with an Ant Colony Optimization algorithm is described and we present experimental evidence that the resulting a...

While speaker verification represents a critically important application of recognition, it is also the most challenging and least well-understood application. Robust feature extraction plays an integral role in enhancing efficiency forensic verification. Although speech signal continuous one-dimensional time series, recent models depend on recurrent neural network (RNN) or convolutional (CNN) ...

Vehicular ad hoc networks (VANETs) are vital to many Intelligent Transportation System (ITS)-enabled technologies, including efficient traffic control, media applications, and encrypted financial transactions. Due an increase in traffic, vehicular network topology is constantly changing, sparse vehicle distribution (on highways) hinders scalability. Thus, there a challenge for all vehicles (in ...

Power quality is the main problem with power system network. Poor electricity may cause disruptions and financial challenges for consumers. Additionally, it could electronic gadgets to overheat, be damaged, or operate inadvertently. Transformers other components of distribution also overheat experience core saturation. This study investigates potential problems in a photovoltaic linked system. ...

In this study, a multiobjective optimization is applied to Optimal Power Flow Problem (OPF). To effectively achieve this goal, a Multiobjective Ant Lion algorithm (MOALO) is proposed to find the Pareto optimal front for the multiobjective OPF. The aim of this work is to reach good solutions of Active and Reactive OPF problem by optimizing 4-conflicting objective functions simultaneously. Here a...

Abstract Aiming at the actual industrial requirements of high accuracy and efficiency in process pressure gauge calibration, this paper studies intelligent temperature control calibration system. Based on physical mechanism system, controlled object model is established. According to characteristics large time delay nonlinearity process, a neural network PID method based ANT-LION optimization a...

In eastern North America, body size of the larval ant lion Myrmeleon immaculatus increases from south to north, following Bergmann's rule. We used a common-garden experiment and a reciprocal-transplant experiment to evaluate the effects of food and temperature on ant lion growth, body size, and survivorship. In the laboratory common-garden experiment, first-instar larvae from two southern (Geor...