One of the most difficult problems in the management of economically power systems is the unit commitment problem. The mathematical complexity of the problem increases with the increase in unit numbers. Given the high...
详细信息
ISBN:
(纸本)9781728172965
One of the most difficult problems in the management of economically power systems is the unit commitment problem. The mathematical complexity of the problem increases with the increase in unit numbers. Given the high dimensions of this problem, meta-heuristic methods can act as one of the best ways of solving this problem. one of the challenges that meta-heuristic strategies faces is the low number of feasible answers compared to non-feasible ones while trying to satisfy the unit commitment constraints which can cause problems in the convergence of these methods. A new approach based on binary encoding in the population was proposed in this paper, using the Gray Wolf Optimization Algorithm (GWO), to solve the complexity of the unit commitment problem. The GWO is then applied to 10 thermal test units. Comprehensive numerical tests are carried out to check the GWO's efficacy using the approach proposed. The simulation results are presented and compared to numerous current heuristic methods that show the GWO's superior performance using the method proposed to solve the UC problem.
This paper reviews and compares theories of fuzzy sets and soft sets from the perspective of transformation, and we prove that every fuzzy set on a universe U can be considered as a soft set, and show that any soft se...
详细信息
This paper reviews and compares theories of fuzzy sets and soft sets from the perspective of transformation, and we prove that every fuzzy set on a universe U can be considered as a soft set, and show that any soft set can be regarded as even a fuzzy set. This paper presents two mapping methods to implement the transformation, namely, the methods of the binary-coded genetic algorithm (BCGA) and the ordered weighted averaging (OWA) operators. In practical applications, it can be used to establish the membership function of fuzzy sets, and it can also be applied to pattern recognition, decision-making, etc. In general, it provides a new perspective to observe the relationship between soft sets and fuzzy sets, and it can be regarded as a general strategy to establish the membership function of fuzzy sets. Further, it reveals that the transformation method is similar to the process of building neurons, which opens a door to machine learning for soft set theory.
In this paper the application of InterCriteria Analysis (ICA) is presented. The approach is based on the apparatuses of index matrices and intuitionistic fuzzy sets. ICA is applied to establish the relations and depen...
详细信息
ISBN:
(纸本)9783319243061;9783319243054
In this paper the application of InterCriteria Analysis (ICA) is presented. The approach is based on the apparatuses of index matrices and intuitionistic fuzzy sets. ICA is applied to establish the relations and dependencies of defined parameters in non-linear models of Escherichia coli MC4110 and Saccharomyces cerevisiae fermentation processes. Parameter identification of both fed-batch process models has been done using three kinds of genetic algorithms (GA) - standard single population GA (SGA) and two SGA modifications. The obtained results are discussed in the lights of ICA and some conclusions about existing relations and dependencies between model parameters are derived.
This paper proposes a 9-bit binary-coded current-Steering Digital-to-Analog Converter (DAC), which is designed using 130 nm SiGe BiCOMS process. The sampling rate is set to be 100 MSPS. Cadence Spectre is used to simu...
详细信息
暂无评论