Gorilla troops optimizer(GTO)is a newly developed meta-heuristic algorithm,which is inspired by the collective lifestyle and social intelligence of gorillas.Similar to othermetaheuristics,the convergence accuracy and ...Gorilla troops optimizer(GTO)is a newly developed meta-heuristic algorithm,which is inspired by the collective lifestyle and social intelligence of gorillas.Similar to othermetaheuristics,the convergence accuracy and stability of GTOwill deterioratewhen the optimization problems to be solved becomemore complex and flexible.To overcome these defects and achieve better performance,this paper proposes an improved gorilla troops optimizer(IGTO).First,Circle chaotic mapping is introduced to initialize the positions of gorillas,which facilitates the population diversity and establishes a good foundation for global search.Then,in order to avoid getting trapped in the local optimum,the lens opposition-based learning mechanism is adopted to expand the search ranges.Besides,a novel local search-based algorithm,namely adaptiveβ-hill climbing,is amalgamated with GTO to increase the final solution precision.Attributed to three improvements,the exploration and exploitation capabilities of the basic GTOare greatly enhanced.The performance of the proposed algorithm is comprehensively evaluated and analyzed on 19 classical benchmark functions.The numerical and statistical results demonstrate that IGTO can provide better solution quality,local optimumavoidance,and robustness compared with the basic GTOand five other wellknown algorithms.Moreover,the applicability of IGTOis further proved through resolving four engineering design problems and training multilayer perceptron.The experimental results suggest that IGTO exhibits remarkable competitive performance and promising prospects in real-world tasks.展开更多
It is a shared opinion that sustainable development requires a system discontinuity, meaning that radical changes in the way we produce and consume are needed. Within this framework there is an emerging understanding ...It is a shared opinion that sustainable development requires a system discontinuity, meaning that radical changes in the way we produce and consume are needed. Within this framework there is an emerging understanding that an important contribution to this change can be directly linked to decisions taken in the design phase of products, services and systems. Design schools have therefore to be able to provide design students with a broad knowledge and effective Design for Sustainability tools, in order to enable a new generation of designers in playing an active role in re-orienting our consumption and production patterns. This paper presents the intermediate results of the LeNS China, the Learning Network on Sustainability of Chinese design Higher Education Institutions aiming at curricula development on Design for Sustainability. The project is a regeneration of the LeNS Asian-European multi-polar network project financed by the European Commission. LeNS China is taking in consideration the local needs, interests and opportunities could represent a significant enabling platform capable to sensitise, support and empower a new generation of Chinese design educators, designers and entrepreneurs to reach design practice throughout an open collaborative learning approach. The paper will firstly introduce the LeNS project and its ethos, and then the LeNS China network will be described in terms of the state of the art of design for sustainability and its education in China, the scope and the objective, the results achieved so far and the next steps.展开更多
Traditionally, education environments are Eurocentric. They have reinforced "pedagogy of the oppressed" where Western knowledge is reflected in the university curriculum and ways of learning and teaching. Factors in...Traditionally, education environments are Eurocentric. They have reinforced "pedagogy of the oppressed" where Western knowledge is reflected in the university curriculum and ways of learning and teaching. Factors influencing success in learning remain an area of strong interest particularly in regard to non-traditional students in learning and teaching settings. This study explores the strategies undertaken by first, second, and third generation Paciflc/Pasifika students to overcome challenges whilst studying and utilizing services provided by staff in the Pasifika Learning Village at the Auckland University of Technology in New Zealand. The study adopted a mixed method approach that was adapted by integrating a Pasfika method of talanoa to understand their experiences so that their voices and stories on how they made it through a tertiary environment are heard and valued. Through Pacific/Pasifika lens, a cultural analysis of Pacific/Pasifika students' knowledge, values, and beliefs highlighted that supplementary cultural spaces, Pacific/Pasifika staff support, and valuing and acknowledging the social space relationships are imperative factors empowering them to succeed in a New Zealand tertiary setting. This paper argues that cultural pedagogies integrated into mainstream revealed successes that warrant recognition as they have demonstrated that traditional models within contemporary settings empower and enhance Pacific/Pasifika students' success.展开更多
Background:To examine the effectiveness of the use of machine learning for adapting an intraocular lens(IOL)power calculation for a patient group.Methods:In this retrospective study,the clinical records of 1,611 eyes ...Background:To examine the effectiveness of the use of machine learning for adapting an intraocular lens(IOL)power calculation for a patient group.Methods:In this retrospective study,the clinical records of 1,611 eyes of 1,169 Japanese patients who received a single model of monofocal IOL(SN60WF,Alcon)at Miyata Eye Hospital were reviewed and analyzed.Using biometric metrics and postoperative refractions of 1211 eyes of 769 patients,constants of the SRK/T and Haigis formulas were optimized.The SRK/T formula was adapted using a support vector regressor.Prediction errors in the use of adapted formulas as well as the SRK/T,Haigis,Hill-RBF and Barrett Universal II formulas were evaluated with data from 395 eyes of 395 distinct patients.Mean prediction errors,median absolute errors,and percentages of eyes within±0.25 D,±0.50 D,and±1.00 D,and over+0.50 D of errors were compared among formulas.Results:The mean prediction errors in the use of the SRT/K and adapted formulas were smaller than the use of other formulas(P<0.001).In the absolute errors,the Hill-RBF and adapted methods were better than others.The performance of the Barrett Universal II was not better than the others for the patient group.There were the least eyes with hyperopic refractive errors(16.5%)in the use of the adapted formula.Conclusions:Adapting IOL power calculations using machine learning technology with data from a particular patient group was effective and promising.展开更多
Background:To examine the effectiveness of the use of machine learning for adapting an intraocular lens(IOL)power calculation for a patient group.Methods:In this retrospective study,the clinical records of 1,611 eyes ...Background:To examine the effectiveness of the use of machine learning for adapting an intraocular lens(IOL)power calculation for a patient group.Methods:In this retrospective study,the clinical records of 1,611 eyes of 1,169 Japanese patients who received a single model of monofocal IOL(SN60WF,Alcon)at Miyata Eye Hospital were reviewed and analyzed.Using biometric metrics and postoperative refractions of 1211 eyes of 769 patients,constants of the SRK/T and Haigis formulas were optimized.The SRK/T formula was adapted using a support vector regressor.Prediction errors in the use of adapted formulas as well as the SRK/T,Haigis,Hill-RBF and Barrett Universal II formulas were evaluated with data from 395 eyes of 395 distinct patients.Mean prediction errors,median absolute errors,and percentages of eyes within±0.25 D,±0.50 D,and±1.00 D,and over+0.50 D of errors were compared among formulas.Results:The mean prediction errors in the use of the SRT/K and adapted formulas were smaller than the use of other formulas(P<0.001).In the absolute errors,the Hill-RBF and adapted methods were better than others.The performance of the Barrett Universal II was not better than the others for the patient group.There were the least eyes with hyperopic refractive errors(16.5%)in the use of the adapted formula.Conclusions:Adapting IOL power calculations using machine learning technology with data from a particular patient group was effective and promising.展开更多
针对黏菌优化算法(Slime Mould Algorithm,SMA)的寻优过程存在收敛效率较低、容易陷入局部最优解等问题,文中提出融合多策略改进的黏菌优化算法(Improved SMA Fused with Multi-strategy,MISMA).引入Halton序列,丰富初始种群的多样性,...针对黏菌优化算法(Slime Mould Algorithm,SMA)的寻优过程存在收敛效率较低、容易陷入局部最优解等问题,文中提出融合多策略改进的黏菌优化算法(Improved SMA Fused with Multi-strategy,MISMA).引入Halton序列,丰富初始种群的多样性,提升算法寻优的遍历性和收敛精度.融入差分变异思想,改进算法的全局位置更新公式,强化全局探索能力,增强算法的持续寻优性能.糅合改进收敛因子和精英选择机制的局部搜索策略,提升算法的局部开采能力,更好地平衡算法的全局探索与局部开发进程.基于动态边界的透镜成像学习策略改善个体的质量,加强算法反早熟及摆脱局部最优解的能力.在13个基准函数及部分CEC2014测试函数上的数值仿真实验表明,MISMA具有较强的鲁棒性.此外,在光伏电池组件模型参数优化实验上进一步验证MISMA在处理实际工程优化问题时的优越性及适用性.展开更多
基金This work is financially supported by the Fundamental Research Funds for the Central Universities under Grant 2572014BB06.
文摘Gorilla troops optimizer(GTO)is a newly developed meta-heuristic algorithm,which is inspired by the collective lifestyle and social intelligence of gorillas.Similar to othermetaheuristics,the convergence accuracy and stability of GTOwill deterioratewhen the optimization problems to be solved becomemore complex and flexible.To overcome these defects and achieve better performance,this paper proposes an improved gorilla troops optimizer(IGTO).First,Circle chaotic mapping is introduced to initialize the positions of gorillas,which facilitates the population diversity and establishes a good foundation for global search.Then,in order to avoid getting trapped in the local optimum,the lens opposition-based learning mechanism is adopted to expand the search ranges.Besides,a novel local search-based algorithm,namely adaptiveβ-hill climbing,is amalgamated with GTO to increase the final solution precision.Attributed to three improvements,the exploration and exploitation capabilities of the basic GTOare greatly enhanced.The performance of the proposed algorithm is comprehensively evaluated and analyzed on 19 classical benchmark functions.The numerical and statistical results demonstrate that IGTO can provide better solution quality,local optimumavoidance,and robustness compared with the basic GTOand five other wellknown algorithms.Moreover,the applicability of IGTOis further proved through resolving four engineering design problems and training multilayer perceptron.The experimental results suggest that IGTO exhibits remarkable competitive performance and promising prospects in real-world tasks.
基金partially supported by National Social Science Fund of China (Grant No.11BH064)
文摘It is a shared opinion that sustainable development requires a system discontinuity, meaning that radical changes in the way we produce and consume are needed. Within this framework there is an emerging understanding that an important contribution to this change can be directly linked to decisions taken in the design phase of products, services and systems. Design schools have therefore to be able to provide design students with a broad knowledge and effective Design for Sustainability tools, in order to enable a new generation of designers in playing an active role in re-orienting our consumption and production patterns. This paper presents the intermediate results of the LeNS China, the Learning Network on Sustainability of Chinese design Higher Education Institutions aiming at curricula development on Design for Sustainability. The project is a regeneration of the LeNS Asian-European multi-polar network project financed by the European Commission. LeNS China is taking in consideration the local needs, interests and opportunities could represent a significant enabling platform capable to sensitise, support and empower a new generation of Chinese design educators, designers and entrepreneurs to reach design practice throughout an open collaborative learning approach. The paper will firstly introduce the LeNS project and its ethos, and then the LeNS China network will be described in terms of the state of the art of design for sustainability and its education in China, the scope and the objective, the results achieved so far and the next steps.
文摘Traditionally, education environments are Eurocentric. They have reinforced "pedagogy of the oppressed" where Western knowledge is reflected in the university curriculum and ways of learning and teaching. Factors influencing success in learning remain an area of strong interest particularly in regard to non-traditional students in learning and teaching settings. This study explores the strategies undertaken by first, second, and third generation Paciflc/Pasifika students to overcome challenges whilst studying and utilizing services provided by staff in the Pasifika Learning Village at the Auckland University of Technology in New Zealand. The study adopted a mixed method approach that was adapted by integrating a Pasfika method of talanoa to understand their experiences so that their voices and stories on how they made it through a tertiary environment are heard and valued. Through Pacific/Pasifika lens, a cultural analysis of Pacific/Pasifika students' knowledge, values, and beliefs highlighted that supplementary cultural spaces, Pacific/Pasifika staff support, and valuing and acknowledging the social space relationships are imperative factors empowering them to succeed in a New Zealand tertiary setting. This paper argues that cultural pedagogies integrated into mainstream revealed successes that warrant recognition as they have demonstrated that traditional models within contemporary settings empower and enhance Pacific/Pasifika students' success.
文摘Background:To examine the effectiveness of the use of machine learning for adapting an intraocular lens(IOL)power calculation for a patient group.Methods:In this retrospective study,the clinical records of 1,611 eyes of 1,169 Japanese patients who received a single model of monofocal IOL(SN60WF,Alcon)at Miyata Eye Hospital were reviewed and analyzed.Using biometric metrics and postoperative refractions of 1211 eyes of 769 patients,constants of the SRK/T and Haigis formulas were optimized.The SRK/T formula was adapted using a support vector regressor.Prediction errors in the use of adapted formulas as well as the SRK/T,Haigis,Hill-RBF and Barrett Universal II formulas were evaluated with data from 395 eyes of 395 distinct patients.Mean prediction errors,median absolute errors,and percentages of eyes within±0.25 D,±0.50 D,and±1.00 D,and over+0.50 D of errors were compared among formulas.Results:The mean prediction errors in the use of the SRT/K and adapted formulas were smaller than the use of other formulas(P<0.001).In the absolute errors,the Hill-RBF and adapted methods were better than others.The performance of the Barrett Universal II was not better than the others for the patient group.There were the least eyes with hyperopic refractive errors(16.5%)in the use of the adapted formula.Conclusions:Adapting IOL power calculations using machine learning technology with data from a particular patient group was effective and promising.
文摘Background:To examine the effectiveness of the use of machine learning for adapting an intraocular lens(IOL)power calculation for a patient group.Methods:In this retrospective study,the clinical records of 1,611 eyes of 1,169 Japanese patients who received a single model of monofocal IOL(SN60WF,Alcon)at Miyata Eye Hospital were reviewed and analyzed.Using biometric metrics and postoperative refractions of 1211 eyes of 769 patients,constants of the SRK/T and Haigis formulas were optimized.The SRK/T formula was adapted using a support vector regressor.Prediction errors in the use of adapted formulas as well as the SRK/T,Haigis,Hill-RBF and Barrett Universal II formulas were evaluated with data from 395 eyes of 395 distinct patients.Mean prediction errors,median absolute errors,and percentages of eyes within±0.25 D,±0.50 D,and±1.00 D,and over+0.50 D of errors were compared among formulas.Results:The mean prediction errors in the use of the SRT/K and adapted formulas were smaller than the use of other formulas(P<0.001).In the absolute errors,the Hill-RBF and adapted methods were better than others.The performance of the Barrett Universal II was not better than the others for the patient group.There were the least eyes with hyperopic refractive errors(16.5%)in the use of the adapted formula.Conclusions:Adapting IOL power calculations using machine learning technology with data from a particular patient group was effective and promising.
文摘针对黏菌优化算法(Slime Mould Algorithm,SMA)的寻优过程存在收敛效率较低、容易陷入局部最优解等问题,文中提出融合多策略改进的黏菌优化算法(Improved SMA Fused with Multi-strategy,MISMA).引入Halton序列,丰富初始种群的多样性,提升算法寻优的遍历性和收敛精度.融入差分变异思想,改进算法的全局位置更新公式,强化全局探索能力,增强算法的持续寻优性能.糅合改进收敛因子和精英选择机制的局部搜索策略,提升算法的局部开采能力,更好地平衡算法的全局探索与局部开发进程.基于动态边界的透镜成像学习策略改善个体的质量,加强算法反早熟及摆脱局部最优解的能力.在13个基准函数及部分CEC2014测试函数上的数值仿真实验表明,MISMA具有较强的鲁棒性.此外,在光伏电池组件模型参数优化实验上进一步验证MISMA在处理实际工程优化问题时的优越性及适用性.