... for the AHV, in which the internal system dynamics f (x) of the AHV is not required. © Emerald Group Publishing Limited 2013 Programming and algorithm theory Controllers Design Nonlinear H∞ control Air‐breathing hypersonic vehicle Simultaneous policy update algorithm...

... controller. © Emerald Group Publishing Limited 2013 Trajectories Tracking Programming and algorithm theory Underwater technology Controllers Path planning and trajectory tracking Autonomous underwater vehicles Nonlinear robust control Unmanned underwater vehicles play a crucial...

... of rollouts suggested in Remark 5 is convenient to define crossover operators for two given rollouts. We will introduce two crossover operations below. Decision making Programming and algorithm theory Monte Carlo methods Markov processes Reinforcement learning Partially observable Markov decision...

... a more comprehensive result set by including infiltrated areas and large nodules while not allowing false positive rates to increase. Programming and algorithm theory Image processing Cancer Radiography Medical diagnosis Lung nodule Infiltrated area Chest radiograph Lung cancer Early...

... and algorithm theory Differential evolution Unmanned aerial vehicles Co‐operation Besides, in order to reflect the physical characteristics of the UAV, a set of parameters related to the flight performance is constrained: Maximum cruise velocity vmax. It is a basic performance parameter...

... is shown in Figure 3 . And the two phases are detailed discussed below. © Emerald Group Publishing Limited 2011 Data handling Programming and algorithm theory Evolutionary algorithm Clustering Similarity measurement Euclidean distance Manifold distance Evolutionary algorithm...

... problem Programming and algorithm theory Optimization techniques A HSI: H→R is a measure of the goodness of the TSP solution represented by the habitat. The paper is organized as follows. Section 2 gives the definition of TSP and models of biogeography migration...

... and to consume resources. © Emerald Group Publishing Limited 2011 Decision making Programming and algorithm theory Adaptive system theory Intelligent agents Situations in which more than one agent is required to undertake a problem is common in many domains such as robots moving a heavy...

... predictions. Production scheduling Job sequence loading Programming and algorithm theory After detailed analysis, we noticed that those methods have unclear definitions of jobs, i.e. what are the important features used in measuring the similarity of jobs which can be included in the prediction...

... and algorithm theory The proposition of BSAGA is based on the following aspects: The rest of this paper is organized as follows. Section 2 summarizes the biological elements of this paper. Section 3 provides a full description of the BSAGA, and Sections 4 and 5 present some experimental results...

...) algorithms for secondary structure prediction are described which are used for comparison in this paper. © Emerald Group Publishing Limited 2011 Intelligent systems Programming and algorithm theory Initialize population with random permutations Ribonucleic acid (RNA) plays...

... performance has bigger weight and then has higher probability to be selected. © Emerald Group Publishing Limited 2011 Flight control Control technology Programming and algorithm theory As one of the intelligent algorithms, shuffled frog leaping algorithm (SFLA), which is originally...

... by using selection algorithm: © Emerald Group Publishing Limited 2010 Neural nets Fuzzy logic Polynomials Programming and algorithm theory Recently, a lot of attention in fuzzy sets has been paid to advanced techniques of system modeling and constructing fuzzy models. To enumerate...

... thresholds conditioning rules application. If environment state continues to turn into harsh, robots are able to seek for another direction to start new heap formation somewhere else. Such zones are like Saharan region, airports or supermarkets. Robotics Programming and algorithm theory Adaptive system...

... is analysed in Section 6, with some concluding comments being provided in Section 7. © Emerald Group Publishing Limited 2010 Programming and algorithm theory Fuzzy control Image processing Image segmentation involves the separation of mutually exclusive regions/objects of interest...

.... © Emerald Group Publishing Limited 2010 Fuzzy control Programming and algorithm theory The era of evolutionary computation started with genetic algorithms (GAs) in the past three decades. Amounts of applications have benefited from the utilization of GA (Chaiyaratana and Zalzala...

... and algorithm theory DNA computing is basically a new paradigm of computing and very often is called “Nanocomputing.” DNA molecules consist of two long chains held together by complementary base pairs. A DNA chain is a long, unbranched polymer composed of four subunits namely adenine (A), cytosine(C...

... by this method has better generalization. Vectors Classification Programming and algorithm theory Support vector classification (SVC) is an extended application of support vector machine (SVM) in solving pattern recognition issues. It adopts structural risk minimization and introduces slack variable...

... and algorithm theory Systems and control theory Operating systems The distributed system can be defined as a collection of computing nodes interconnected by a high speed local and wide area networks. Utilization of distributed operating system in the provision of distributed parallel environment...

... of computational intractability by only relying on counting rewards/penalties, combined with random sampling from a pair of twin Beta distributions. © Emerald Group Publishing Limited 2010 Learning processes Programming and algorithm theory Automata theory Stochastic processes The conflict...