Let A be the set of alternative strategies, of which the elements, also called strategy coefficients, refer to the value deviating from the cost.
The two bidding strategy coefficients for Park City and Sundance are constrained to be in interval [1, 3] and [1, 1.5], respectively.
The three bidding strategy coefficients are constrained to be in interval [1, 2] such that the involved units may bid up to $56/MWh which gives a sufficiently wide range for the simulation.
In addition, for the parameters associated with GA applied to the cases below, we set the total biological generation to 100, the population size to 50, crossover rate to 0.5, mutation rate to 0.01, and eight bits for bidding strategy coefficients (b i and b j ).
Among those participants wo may be using a parallel-OR processing strategy, capacity coefficients were still quite limited indicating that there may be other deficits relative to the UCIP model.
So we propose a weighted coefficient strategy to eliminate this phenomenon.
The author concludes with suggestions on how the model can be used to determine a visually optimal quantization strategy for wavelet coefficients and produce a quantitative measure of image quality.
To overcome the necessity of using an auxiliary mapping P, for an inward and non-expansive mapping (T Cto H), we will introduce a new search strategy for the coefficients ({alpha_{n}}) and we will prove that the Krasnoselskii-Mann algorithm x_{n+1}=alpha_{n}x_{n}+ 1-alpha_{n} Tx_{n} is well defined for this particular choice of the sequence ({alpha _{n}}).
In this paper, a bi-level optimization model based on the Stackelberg Nash equilibrium strategy with fuzzy coefficients is developed to deal with environmental water problems in large scale coal fields, in which both the groundwater quality and quantity are considered.
In order to attain the optimal solution of formulated objective function, this paper introduces a novel approach, "Gaussian Adaptive Particle Swarm Optimization" (GA-PSO), which is embedded with two beneficial attributes: (1) Gaussian probability distribution, and (2) Time-Varying Acceleration Coefficients strategy.
