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In this paper, Chinese was divided into two groups of Han and Minority groups. First, population trends of both groups were estimated by a simple discrete exponential growth model. Second, population trends of both groups were simulated and analyzed by Logistic model based on 2000–2010 census data and sample survey data. All models were evaluated and analyzed. The conclusions were whether it was the...
In this paper, the problem of H∞ filtering for a class of nonlinear systems based on prey-predator model is considered. Taking into account the nonlinearity of the prey-predator systems, the model of these systems is constructed. Then, via Lyapunov stability theory and linear matrix inequality technique, the method of H∞ filter design for nonlinear prey-predator systems with stage structure and external...
Multiple time lags can occur very naturally in the study of population dynamics. In this paper, we study two forms of the delay logistic equation with two discrete time delays. For both the models, we identify the condition for the first local Hopf bifurcation. For our analysis, we employ a non-dimensional bifurcation parameter. Using Poincaré normal forms and the center manifold theory, we also conduct...
In this paper, a novel improved multiobjective particle swarm optimization (IMOPSO) is proposed for solving the optimal reactive power dispatch (ORPD) problem with multiple and competing objectives. In order to improve the global search capability and the nondominated solutions diversity, time variant parameters, mutation operator, and dynamic crowding distance are incorporated into the MOPSO algorithm...
When solving complex function optimization problem, Differential evolution(DE) algorithms may suffer from low convergence rate. In this paper, we propose an improved differential evolution algorithm named n-IDE. Our algorithm uses Gaussian sequence to dynamically generate zoom factors and applies an improved hybrid mutation strategy to individuals in order to improve the overall performance. We compare...
The partner selection and optimization problem is an important area of virtual enterprise (VE). Genetic algorithm (GA) is optimization and parallel strategy simulating biology evolutionary mechanism in nature and a high efficient algorithm solving these types of problems. After analyzing the partner selection problems of virtual enterprise, the improved genetic algorithm (IGA) was presented to solve...
One of the most important features of the PSO algorithm is its fast convergence. This is a positive feature as long as there's no premature convergence. Inspired by the phenomenon of quorum sensing behavior in the bacteria, we incorporate this bio-behavior into PSO and MOPSO to maintain the swarm diversity and promote global exploration when the velocity of each particle in the swarm is rather small...
This paper introduces a hybrid algorithm combining discrete harmony search (DHS) and iterated local search (ILS) for solving the multi-objective resource allocation problem (RAP). Two objectives are considered simultaneously, i.e. minimization of the overall cost and overall efficiency. The harmony search algorithm is used to conduct the global exploration task, while the iterated local search performs...
The correlation degrees among carbon emissions and influencing factors help to make correct judgment and insightful short and long term policies for the low-carbon economy. According to the carbon emissions data provided by American Oak Ridge National Laboratory Carbon Dioxide Information Analysis Center (CDIAC), from which we selected the data of world's top 11carbon emitting countries, a comparative...
In this paper, we investigate a prey predator model system with selective harvest effort on predator, where prey refuge is considered and taxation is utilized as a control instrument to protect the population from overexploitation. Conditions which influence positiveness and boundedness of solutions of model system are studied. Local stability analysis around all equilibria of model system are discussed...
Models that describe interactions between species are often used to study the dynamics of populations in an ecosystem. In this paper we focus on one such model, i.e. a time delayed version of the Lotka-Volterra dynamical system. In particular, we study the effects of time delays in, (i) the interspecies interactions and, (ii) the carrying capacity of the prey population, on the system dynamics. In...
Multimodal optimization problems are typical those problems where both a global optimum and one or more local optima are included, which can be tackled with by evolutionary algorithms. This paper proposes an improved artificial immune network for multimodal function optimization. In the antibody population, antibodies are allocated to three spaces, i.e., the elitist space, the common space and the...
Bid evaluation mechanism is a key factor to the fairness of auction and resource allocation. The current bid evaluation process is usually done by two groups, business expert group and technical expert group, separately. Taking bounded rationality as precondition, it will induce the antagonistic feelings and non-cooperation behavior between two groups. This paper focus on bid evaluation behaviors...
In this paper, a fast-sorting method called summation of normalized objectives and diversified selection (SNOV-DS) is embedded in Comprehensive Learning Particle Swarm Optimization (CLPSO) to solve multi-objective problems. Due to this method, the simulation time will be decreased. The convergence to true Pareto front and the spread of solutions can also be improved. The algorithm is tested on a set...
In this paper, we consider the pest is infected by virus, and the natural enemies have functional response of Beddington-DeAngelis. Making use of Floquet theory, comparison theory and small amplitude perturbations to get the condition of pest-eradication periodic solution locality asymptotical stability and continue existence. The conclusion contributes to control pests.
The product diffusion theory and the optimization theory are introduced to research the quantification of the livable index satisfaction for green coverage of urban and performed the quantitative analysis on the rationality of distribution. Using the statistical curve regression theory and mathematical statistics software SPSS, the utility function of livable index satisfaction for green coverage...
We developed an automatic cover design supporting system for non-professional users to create their preferred cover designs in a user-oriented way by using Interactive Genetic Algorithm(IGA). Different from the template design pattern, our system allows an interaction between the algorithm and the Decision Maker(DM). It allows the users to take into account their preferences at each generation of...
Tool inventory has a large difference with the traditional static inventory since the tool can be reused by grinding. In this paper, according to the life characteristics of tool, the tool inventory cost model has been built by studying the using process of tool. The model takes all costs which includes the shortage cost in the product life cycle into account under the circumstances of demand uncertainty...
Vehicle scheduling problem of urban bus line is complex and involves multiple objectives. Currently, existing approaches incorporate those objectives in a linear fashion to form a single objective and then use a single objective optimization approach to solve it. However, these approaches can only produce one solution and it is not easy to assign a proper weight for each objective to get a superior...
In this paper, The improved Particle Swarm Optimization in dynamic objective function environment (DOFPSO) is purposed. The dynamic environment will change with the time t. The DOFPSO algorithm discuss that how to determine changes of the time (environment) and how to keep population diversity. The improved algorithm has the ability to fast response the change of environment and could find the best...
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