In this paper, we present the use of two evolutionary algorithms to estimate fundamental matrices. We first propose a modification of the Hybrid Taguchi Genetic Algorithm (HTGA) that employs a single objective function, either geometric or algebraic distance, for optimization. We then propose to use a multi-objective optimization algorithm, Intelligent Multi-Objective Evolutionary Algorithm (IM...

Global optimization methods play an important role to solve many real-world problems. Flower pollination algorithm (FP) is a new nature-inspired algorithm, based on the characteristics of flowering plants. In this paper, a new hybrid optimization method called hybrid flower pollination algorithm (FPPSO) is proposed. The method combines the standard flower pollination algorithm (FP) with the par...

The electronic white board and the tablet PC are bringing new technologies to modern education. This paper presents a pen-based flowchart recognition system for programming teaching, which uses hybrid SVM-HMM algorithm for sketch recognition. In this algorithm, ICA is used to reduce the dimension of features, a set of fuzzy SVMs are used as preliminary feature classifiers to produce fix length ...

Our paper focuses on the generation of optimal test sequences and test cases using Intelligent Agents for highly reliable systems. Test sequences support test case generation for these types of systems. Our system is modeled through UML state charts. Conventional test generation techniques do not worry about optimization and dynamic nature of such systems. In the case of highly reliable Softwar...

This paper discusses the nature of interactions between highlevel intelligent agents and low-level control algorithms. Control algorithms offer the promise of simplifying a dynamic system’s apparent behavior as perceived by an intelligent agent, thus making the agent’s task much easier. However, the coupled dynamics of such a hybrid system can be difficult to predict and may lead to undesirable...

The intelligent systems are becoming more important in life. Moving objects tracking is one of the tasks of intelligent systems. This paper proposes the algorithm to track the object in the street. The proposed method uses the amplitude of zernike moment on nonsubsampled contourlet transform to track object depending on context awareness. The algorithm has also been processed successfully such ...

the urban waste collection is one of the major municipal activities that involves large expenditures and difficult operational problems. also, waste collection and disposal have high expenses such as investment cost (i.e. vehicles fleet) and high operational cost (i.e. fuel, maintenance). in fact, making slight improvements in this issue lead to a huge saving in municipal consumption. some inci...

task assignment problem (tap) involves assigning a number of tasks to a number of processors in distributed computing systems and its objective is to minimize the sum of the total execution and communication costs, subject to all of the resource constraints. tap is a combinatorial optimization problem and np-complete. this paper proposes a hybrid meta-heuristic algorithm for solving tap in a h...

metal oxide surge arrester accurate modeling and its parameter identification are very important for insulation coordination studies, arrester allocation and system reliability. since quality and reliability of lightning performance studies can be improved with the more efficient representation of the arresters´ dynamic behavior. in this paper, big bang – big crunch and hybrid big bang – big cr...

As a universal language in the world, English has become necessary communication tool under globalization of trade. Intelligent, efficient, and reasonable language-assisted learning system helps to further improve ability learners. online dictionary, as an important query for learners, is part learning. This paper will optimize design dictionary based on multiagent architecture. Based hybrid co...