Natural interaction in multimodal dialogue systems demands quick system response after the end of a user turn. The prediction of the end of user input at each multimodal dialog turn is complicated as users can interact through modalities in any order, and convey a variety of different messages to the system within the turn. Several multimodal interaction frameworks have used fixed-duration time...

Fireworks Algorithm (FWA) is a recently developed Swarm Intelligence Algorithm (SIA), which has been successfully used in diverse domains. When applied to complicated problems, many function evaluations are needed to obtain an acceptable solution. To address this critical issue, a GPU-based variant (GPU-FWA) was proposed to greatly accelerate the optimization procedure of FWA. Thanks to the act...

This paper presents a new adaptive mutation approach for fastening the convergence of immune algorithms (IAs). This method is adopted to realize the twin goals of maintaining diversity in the population and sustaining the convergence capacity of the IA. In this method, the mutation rate (pm) is adaptively varied depending on the fitness values of the solutions. Solutions of high fitness are pro...

In this paper, a novel particle swarm optimization (PSO) algorithm is put forward where sigmoid-function-based weighting strategy developed to adaptively adjust the acceleration coefficients. The newly proposed adaptive takes into account both distances from global best position and its personal position, thereby having distinguishing feature of enhancing convergence rate. Inspired by activatio...

This study concerns with a trust-region-based method for solving unconstrained optimization problems. The approach takes the advantages of the compact limited memory BFGS updating formula together with an appropriate adaptive radius strategy. In our approach, the adaptive technique leads us to decrease the number of subproblems solving, while utilizing the structure of limited memory quasi-Newt...

The present study is an attempt to propose a mutation-based real-coded genetic algorithm (MBRCGA) for sizing and layout optimization of planar and spatial truss structures. The Gaussian mutation operator is used to create the reproduction operators. An adaptive tournament selection mechanism in combination with adaptive Gaussian mutation operators are proposed to achieve an effective search in ...

An analytical model is developed to assign regional freight across a multimodal highway and railway network using geographic information systems. As part of the regional planning process, the model is an iterative procedure that assigns multimodal freight traffic to the network to achieve overall network optimum. The procedure integrates optimization programming with traffic assignment, conside...

The authors of the present article based their assumption on the concept that the sensory systems are the "windows to the brain" through which various functions of the human organism can be controlled. Comprehension of the fundamental mechanisms of the optimization of the sensory systems, brain, and cardiac functions has increased based on the prolonged sensory flows using conscious and unconsc...

Recently, industry has adopted multimodal, context-aware applications. However, addressing various modalities on heterogeneous platforms implies a demanding development effort. Therefore, we present a task-centric methodology and a tool chain leveraging the development of adaptive multimodal applications. In order to improve efficiency the tool chain is based on the Model Driven Architecture ap...

New ways of communication are now possible thanks to adaptive multimodal systems, enabling the improvement in accessibility of ICT applications to all users. We are developing a project which combines TV with a multimodal system in order to overcome accessibility and usability problems by impaired users. This paper is focused on the fission of outputs, and how the presentations of applications ...