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Adverse weather has serious implication for passenger and aircraft safety. This paper presents an improved weather avoidance system using a genetic algorithm-based technique. A cost model has been developed to estimate the impact of flight level changes to passenger and to consider other factors such as delay costs, weather impact costs, missed connection and schedules of other aircraft. The proposed...
In this paper, an improved interval type-2 fuzzy logic controller based on genetic algorithm is presented to deal with the problem of losing uncertain information in the type reduction process of interval type-2 fuzzy logic controller. The four uncertain boundary values of interval type-2 fuzzy output are obtained by using interval type-2 fuzzy reasoning and the Wu-Mendel uncertainty bound type reduction...
The aim of the Political Districting Problem is to partition a zone into electoral districts with constraints such as contiguity, population equality, etc. By using statistical physics methods, the problem can be mapped onto a q-state Potts model system, and the political constraints are written as an energy function with interactions between sites or external fields acting on the system. This problem...
In this paper, we propose a method for the problem between liquid level displacement identification of the oil tank and capacity table calibrations. Using the interpolation algorithm to solve the problem, we build a mathematic model of relations among reservoir, oil level height and displacement parameters. Moreover, genetic algorithm iteration is used to determine the displacement parameters.
Network anomaly detection is an important issue in network security. Detecting network anomaly is a challenging because of the multivariate property of the collected data, the diversity of the causes and the complexity of the existing algorithms. However, traditional methods have some shortcomings, such as low real-time capability, great resource consumption, high false positive rate (FPR) and high...
The species conservation technique is a relatively new approach to finding multiple solutions of a multimodal optimization problem. When adopting such a technique, a species is defined as a group of individuals in a population that have similar characteristics and are dominated by the best individual, called the species seed. Species conservation techniques are used to identify species within a population...
Gait recognition is of increasing interest recently. A gait recognition method using the temporal information of leg angles is proposed, based on the fact that changes of leg angles can reflect main trait of a man's moving. First the pendulum model is referred to for extracting leg parts, and least-square method is used for boundary fitting, to obtain the temporal information of angle about thigh...
At present, the most effective way to suppress EMI produced by power supply is by the use of passive filtering technique. It is too hard to find all the components to satisfy our requirement by the conventional low-pass prototype synthesis method. Based on current standard components, this paper proposes a match passive filter, which can be worked out by optimizing the Genetic Algorithm. The simulation...
Automobile Steering by Wire (SBW) system is an advanced steering system, which cuts off the mechanical connection between steering wheel and steered wheels. It controls the steering motor to steer front wheels actively so as to improve handling and stabilities and active safety, and controls steering wheel motor to supply the driver with ideal road feel. Driver-vehicle-road closed loop models of SBW...
An angle-based crossover tabu search (CTS) has been presented by author of this paper in. In this paper, an improved CTS is presented using the tabu-recorder, which record the tabu times of tabu-active attributes, to confirm new initial resolutions except the first cycle, and enlarge the global search, which is applied for the larger-scale traveling salesman problem (TSP). The key strategies of the...
In the traditional acoustic source location methods based on correlation technique, the acoustic signal propagation velocity is a prerequisite that has to be known beforehand. However, in practice, the prerequisite is not always available. Thus, the correlation based location methods are infeasible. Actually the acquired acoustic signals contain the characteristics related to the acoustic propagation...
Multi-objective flowshop scheduling problems have gained wide attention both in practical and academic fields. In this paper, a hybrid multi-objective genetic algorithm is proposed to solve multi-objective no-wait flowshop scheduling problems with both the makespan and the total flow time minimization. The proposed algorithm makes use of the principle of non-dominated sorting, coupled with the use...
An accurate friction model is necessary for friction compensation in radar servo systems or industrial robots. In order to obtain an accurate friction model, a method of friction modelling is proposed, based on support vector regression machines (SVRM) and real genetic algorithms (RGA). Three optimization problem formulations are proposed to realize the automatic optimal parameter selection of SVMR...
An improved tabu search - crossover tabu search (CTS), with the angle-based idea of the sweep heuristic to confirm neighborhood, is presented, which is applied for solving a well-known combinatorial optimization problem - the traveling salesman problem (TSP). The key strategies of the CTS are intensification strategy and diversification strategy. Intensification strategies, based on modifying choice...
In the operations of the container terminals, berth scheduling problem is one of the main bottlenecks that restrict the container terminals to reduce the turnaround time of the ships and the operation costs. In this paper we described a nonlinear model for the berth scheduling problem and solved this model by the genetic algorithm GA and the hybrid optimization strategy GASA (namely the combination...
The coupled computational intelligence, in term of genetic algorithms and artificial neural networks, with the time-domain solver for design of the microwave devices is presented in this paper, where the coupled genetic algorithms with the time-domain solver is used for optimization and the artificial neural networks is used to surrogate the time-domain solver in design of the microwave components...
According to QoS (quality of service) of computing resources in grid, a 2-tier hybrid algorithm is proposed for independent tasks scheduling with time-cost minimization. QGMM (QoS Guided Min-Min, presented by He Xiao Shan et al., Journal of Computer Science and Technology, 2003) is adopted in the first level to obtain a schedule with optimized completion time. A GA (genetic algorithm) only with mutation...
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