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In this paper, a new kind of iterative algorithm—Ascending iterative optimization algorithm is investigated. The following steps are the basic procedure of this algorithm. Step 1, establish a Minimum and maximum model based on the concrete example with the help of 0–1 variables. Step 2, establish the objective function targeting on the Minimal Time for police cars to reach the last intersection which...
Firstly, this paper established an optimization model on laying photovoltaic battery with the optimal horizontal obliquity aiming at maximum radiation intensity and the slope obliquity as the decision variable. Then, proposed an “Embedded Search Algorithm” to solve this model. The algorithm not only has high computation efficiency, but also can according to the requirements of the project to achieve...
According to the laid problem of photovoltaic cells, first of all, we need to divide the wall which laid photovoltaic cells into pieces to lay more photovoltaic cells; Secondly, to make total electricity generation maximize and unit electricity generation cost as little as we can, we established the 0–1 multi-objective programming model; Thirdly, aiming at lowest cost, the inverter configuration optimization...
This paper studies the exponential input-to-state stability (e-ISS) for hybrid dynamical networks (HDNs) consisting of flow and jumping subsystems. Concepts of input-to-state exponent (IS-E) and event-ISS are proposed. By using the IS-E estimates of subsystems and the method of multiple Lyapunov functions and M-matrix theory, the e-ISS including event-e-ISS criteria are established for HDNs. The small-gain...
In this paper a current predictive control strategy for grid side converter was proposed, which is of fixed switching frequency, the sinusoidal output current, and fast dynamic response. Experimental platform based on Infineon XC2785X was built. Experimental results showed that the control strategy is feasible and efficient.
The geometric properties and optimality conditions for a class of typical model of linear bilevel programming with multiple followers are discussed in this paper. Under the assumption that the constrained set is nonempty and bounded, we study the geometric properties of the feasible set and reach the conclusion of the feasible set of weak quasi-convex and connected set. An optimum condition is obtained...
Speeding of E-commerce and Internet nowadays promote development, reform and recombination of logistics industry. More and more professionals focus here and approve concept of 4PL, which is the integrator of logistics industry, owns obvious advantages, and can play a role in today's highly competitive condition. In this paper, a multi-objective and multi-task routing problem of 4PL is considered,...
In this paper, we propose two modified conjugate gradient methods, which produce sufficient descent direction at every iteration. The theoretical analysis shows that the algorithms are global convergence under some suitable conditions. The numerical results show that both algorithms are efficient for the given test problems from the Matlab library.
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...
As one of the typical examples of Swarm Intelligence Algorithm, POS has been applied successfully in many fields. But it cannot guarantee a globally optimal solution. To improve that, researchers use related theories in quantum mechanics combined with the basic convergence of particle swarm and put forward a new model of PSO as Quantum-behaved PSO. The new algorithm is convenient for appliance and...
This paper considers optimization chemical control in integrated pest management. The impulsive models of the pest management consisting of the spaying pesticides and the pesticide effect of crops are established and analyzed. Making use of the optimal control theory to solve the optimal dosages of the pesticides and the time intervals with spaying pesticides. Thus, given an optimal pest management...
Considering the difficulty of on-line measurement and the large time-lagging in a complex blending process, a hybrid prediction model is proposed to effectively realize the prediction of non-stationary time series parameters with large fluctuation. Firstly, by wavelet decomposing, the original time series is decomposed into different frequency subseries according to scale. Then, according to the characteristics...
The flexible job shop scheduling problem (FJSP) is an extension of the classic job shop scheduling problem (JSP), which breaks through the uniqueness of limit resources, allows a procedure in many machines processing and one machine processing many kinds of different types of procedures. It is more practical and complex than JSP. The computational complexity of FJSP is much higher, which disables...
NSGA-II(nondominated sorting genetic algorithm II) is a popular multi-objective evolution algorithm (MOEA), which applies binary tournament selection, elitist preserving strategy, nondominated sorting and crowding distance mechanism to obtain a good quality and uniform spread nondominated solution set. In this paper, an improved version of NSGA-II (INSGA-II) is proposed aiming to increase the diversity...
In the process of pursuing the target, we not only expect the least miss distance, but also a better attitude when the missiles impact the target. The better attitude can effect the power of missiles, and what's more, it can avoid the unnecessary disturbance. For instance, a missile always fails to lock the target owing to the too complicated background while attacking a low-attitude target. The strong...
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...
As a feedforward control strategy, iterative learning control (ILC) is used to track a pre-defined reference and reject repetitive disturbances iteratively, but it is incapable of compensating for non-repetitive disturbances. Thus, ILC is often combined with a well-designed feedback controller. Considering nonlinear process, this paper presents an integrated ILC and on-line model predictive (MPC)...
Supervisory predictive control based on GPC theory is an effective control algorithm for complex industrial process which can be realized by adding a supervisory optimal level without modifying the regulatory level. In this paper supervisory predictive control is studied and applied in drum-type boiler-turbine system which is characterized by nonlinearity. Therefore, T-S fuzzy model is used to approximate...
This paper aims at the characteristics of reactive power optimization of the electric power system with the wind farm; proposing a new method for reactive power optimization on the entire power grid which uses the Parallel Immune Particle Swarm Optimization. It uses integer and real number hybrid encoding, improves the efficiency of compiling. And it combines the continuous and discrete particle swarm...
According to the flight path planning problem in dynamic environment, this paper gives a method of analysis. First, the radar threat field based on Voronoi diagram is created, and the track performance indicators established based on radar threat cost and fuel cost. Then the dijkstra algorithm was improved, and the algorithm is used for path planning in dynamic environment‥ Finally, the simulation...
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