教-学优化算法是一种新型启发式优化算法。针对教-学优化算法容易陷入局部最优的不足,提出了一种改进教-学优化算法(an improved teaching-learning based optimization,AITLBO)。在教学阶段通过扰动机制提高教师的教学效果,避免算法陷...教-学优化算法是一种新型启发式优化算法。针对教-学优化算法容易陷入局部最优的不足,提出了一种改进教-学优化算法(an improved teaching-learning based optimization,AITLBO)。在教学阶段通过扰动机制提高教师的教学效果,避免算法陷入局部最优。在学习阶段初期分别采取较差学生向优秀学生动态随机学习和优秀学生重新向教师随机学习的策略使当前解向最优方向进化,避免较差解破坏较优解的结构,提高了学习阶段学生的学习效率。在学习阶段后期引入了学生自我反思的学习策略,实现算法对局部信息的精细搜索,提高算法对解空间信息开发的能力,避免了算法因过早收敛易陷入局部最优的不足。将其与目前较优的几种改进TLBO算法和其他启发式优化算法进行性能测试对比,结果表明AITLBO算法具有较高的寻优精度和较快的收敛速度。展开更多
Clinical and forensic toxicology are critically involved in the acquisition of basic skills to correctly suspect intoxication,collect biological and non-biological materials for toxicological analysis,comprehend the c...Clinical and forensic toxicology are critically involved in the acquisition of basic skills to correctly suspect intoxication,collect biological and non-biological materials for toxicological analysis,comprehend the complexities inherent to laboratory activity,and understand the fundamentals of toxicokinetics and toxicodynamics that underlie the interpretation of results.This works presents a pedagogical innovation proposal for the teaching of clinical and forensic toxicology based on a compilation of more than 3000 cases where the image was fulcra for suspicion.The experience in this article follows the model practiced in bachelors,masters,and PhD degrees,as well as in other continuing training courses,where we are teaching toxicology for more than 15 years.All these levels of education are considered fundamental to the sound development of this science.This approach aims also to offer strength to the intervention of the true toxicologist in all the toxicological phases,besides the classic analytical chemistry.Indeed,it is impossible to provide effective clinical and forensic toxicological interpretations without a proper and broad education,and not thinking exclusively in terms of laboratory techniques.In the future,it will be interesting to evaluate knowledge retention and to propose a database of videos of signs related to intoxications.展开更多
文摘教-学优化算法是一种新型启发式优化算法。针对教-学优化算法容易陷入局部最优的不足,提出了一种改进教-学优化算法(an improved teaching-learning based optimization,AITLBO)。在教学阶段通过扰动机制提高教师的教学效果,避免算法陷入局部最优。在学习阶段初期分别采取较差学生向优秀学生动态随机学习和优秀学生重新向教师随机学习的策略使当前解向最优方向进化,避免较差解破坏较优解的结构,提高了学习阶段学生的学习效率。在学习阶段后期引入了学生自我反思的学习策略,实现算法对局部信息的精细搜索,提高算法对解空间信息开发的能力,避免了算法因过早收敛易陷入局部最优的不足。将其与目前较优的几种改进TLBO算法和其他启发式优化算法进行性能测试对比,结果表明AITLBO算法具有较高的寻优精度和较快的收敛速度。
文摘Clinical and forensic toxicology are critically involved in the acquisition of basic skills to correctly suspect intoxication,collect biological and non-biological materials for toxicological analysis,comprehend the complexities inherent to laboratory activity,and understand the fundamentals of toxicokinetics and toxicodynamics that underlie the interpretation of results.This works presents a pedagogical innovation proposal for the teaching of clinical and forensic toxicology based on a compilation of more than 3000 cases where the image was fulcra for suspicion.The experience in this article follows the model practiced in bachelors,masters,and PhD degrees,as well as in other continuing training courses,where we are teaching toxicology for more than 15 years.All these levels of education are considered fundamental to the sound development of this science.This approach aims also to offer strength to the intervention of the true toxicologist in all the toxicological phases,besides the classic analytical chemistry.Indeed,it is impossible to provide effective clinical and forensic toxicological interpretations without a proper and broad education,and not thinking exclusively in terms of laboratory techniques.In the future,it will be interesting to evaluate knowledge retention and to propose a database of videos of signs related to intoxications.
