Based on the fundamental task of cultivating talents with morality, with the continuing education of in-service teachers entering a new stage of development, the theoretical and practical requirements of performance p...Based on the fundamental task of cultivating talents with morality, with the continuing education of in-service teachers entering a new stage of development, the theoretical and practical requirements of performance promotion training education for primary and secondary school teachers under the remote background are further strengthened. The introduction of advanced educational concepts is an important way for teachers to make progress in continuing education in the basic education stage. It is of significance and practical value to use Mazano's cognitive system "learning dimension" theory to guide primary and secondary school teachers' continuing education. An in-depth analysis of the specific application of this theory in primary and secondary school teachers' continuing education and the exploration of its theoretical value is a response to the standardization and effectiveness of teachers' continuing education development, which can improve the quality and effectiveness of teachers' continuing education and provide more ideas for the sustainable development of primary and secondary school teachers' continuing education.展开更多
The Differential Evolution(DE)algorithm,which is an efficient optimization algorithm,has been used to solve various optimization problems.In this paper,adaptive dimensional learning with a tolerance framework for DE i...The Differential Evolution(DE)algorithm,which is an efficient optimization algorithm,has been used to solve various optimization problems.In this paper,adaptive dimensional learning with a tolerance framework for DE is proposed.The population is divided into an elite subpopulation,an ordinary subpopulation,and an inferior subpopulation according to the fitness values.The ordinary and elite subpopulations are used to maintain the current evolution state and to guide the evolution direction of the population,respectively.The inferior subpopulation learns from the elite subpopulation through the dimensional learning strategy.If the global optimum is not improved in a specified number of iterations,a tolerance mechanism is applied.Under the tolerance mechanism,the inferior and elite subpopulations implement the restart strategy and the reverse dimensional learning strategy,respectively.In addition,the individual status and algorithm status are used to adaptively adjust the control parameters.To evaluate the performance of the proposed algorithm,six state-of-the-art DE algorithm variants are compared on the benchmark functions.The results of the simulation show that the proposed algorithm outperforms other variant algorithms regarding function convergence rate and solution accuracy.展开更多
文摘Based on the fundamental task of cultivating talents with morality, with the continuing education of in-service teachers entering a new stage of development, the theoretical and practical requirements of performance promotion training education for primary and secondary school teachers under the remote background are further strengthened. The introduction of advanced educational concepts is an important way for teachers to make progress in continuing education in the basic education stage. It is of significance and practical value to use Mazano's cognitive system "learning dimension" theory to guide primary and secondary school teachers' continuing education. An in-depth analysis of the specific application of this theory in primary and secondary school teachers' continuing education and the exploration of its theoretical value is a response to the standardization and effectiveness of teachers' continuing education development, which can improve the quality and effectiveness of teachers' continuing education and provide more ideas for the sustainable development of primary and secondary school teachers' continuing education.
基金This work was supported by the National Natural Science Foundation of China(Nos.61903089 and 62066019)the Natural Science Foundation of Jiangxi Province(Nos.20202BABL202020 and 20202BAB202014)the National Key Research and Development Program of China(No.2020YFB1713700).
文摘The Differential Evolution(DE)algorithm,which is an efficient optimization algorithm,has been used to solve various optimization problems.In this paper,adaptive dimensional learning with a tolerance framework for DE is proposed.The population is divided into an elite subpopulation,an ordinary subpopulation,and an inferior subpopulation according to the fitness values.The ordinary and elite subpopulations are used to maintain the current evolution state and to guide the evolution direction of the population,respectively.The inferior subpopulation learns from the elite subpopulation through the dimensional learning strategy.If the global optimum is not improved in a specified number of iterations,a tolerance mechanism is applied.Under the tolerance mechanism,the inferior and elite subpopulations implement the restart strategy and the reverse dimensional learning strategy,respectively.In addition,the individual status and algorithm status are used to adaptively adjust the control parameters.To evaluate the performance of the proposed algorithm,six state-of-the-art DE algorithm variants are compared on the benchmark functions.The results of the simulation show that the proposed algorithm outperforms other variant algorithms regarding function convergence rate and solution accuracy.
