- A General Framework of Dynamic Constrained Multiobjective Evolutionary Algorithms for Constrained Optimization. [Journal Article]
- ITIEEE Trans Cybern 2017 Jan 16
- A novel multiobjective technique is proposed for solving constrained optimization problems (COPs) in this paper. The method highlights three different perspectives: 1) a COP is converted into an equi...
A novel multiobjective technique is proposed for solving constrained optimization problems (COPs) in this paper. The method highlights three different perspectives: 1) a COP is converted into an equivalent dynamic constrained multiobjective optimization problem (DCMOP) with three objectives: a) the original objective; b) a constraint-violation objective; and c) a niche-count objective; 2) a method of gradually reducing the constraint boundary aims to handle the constraint difficulty; and 3) a method of gradually reducing the niche size aims to handle the multimodal difficulty. A general framework of the design of dynamic constrained multiobjective evolutionary algorithms is proposed for solving DCMOPs. Three popular types of multiobjective evolutionary algorithms, i.e., Pareto ranking-based, decomposition-based, and hype-volume indicator-based, are employed to instantiate the framework. The three instantiations are tested on two benchmark suites. Experimental results show that they perform better than or competitive to a set of state-of-the-art constraint optimizers, especially on problems with a large number of dimensions.
- A Many-Objective Evolutionary Algorithm Using A One-by-One Selection Strategy. [Journal Article]
- ITIEEE Trans Cybern 2017 Jan 09
- Most existing multiobjective evolutionary algorithms experience difficulties in solving many-objective optimization problems due to their incapability to balance convergence and diversity in the high...
Most existing multiobjective evolutionary algorithms experience difficulties in solving many-objective optimization problems due to their incapability to balance convergence and diversity in the high-dimensional objective space. In this paper, we propose a novel many-objective evolutionary algorithm using a one-by-one selection strategy. The main idea is that in the environmental selection, offspring individuals are selected one by one based on a computationally efficient convergence indicator to increase the selection pressure toward the Pareto optimal front. In the one-by-one selection, once an individual is selected, its neighbors are de-emphasized using a niche technique to guarantee the diversity of the population, in which the similarity between individuals is evaluated by means of a distribution indicator. In addition, different methods for calculating the convergence indicator are examined and an angle-based similarity measure is adopted for effective evaluations of the distribution of solutions in the high-dimensional objective space. Moreover, corner solutions are utilized to enhance the spread of the solutions and to deal with scaled optimization problems. The proposed algorithm is empirically compared with eight state-of-the-art many-objective evolutionary algorithms on 80 instances of 16 benchmark problems. The comparative results demonstrate that the overall performance of the proposed algorithm is superior to the compared algorithms on the optimization problems studied in this paper.
- Long noncoding RNA as an indicator differentiating schizophrenia from major depressive disorder and generalized anxiety disorder in nonpsychiatric hospital. [Journal Article]
- BMBiomark Med 2017 Jan 16
- CONCLUSIONS: The three upregulated SZ lncRNAs are not entirely replicated in MDD and GAD patients and could be potential indicators for distinguishing SZ from MDD and GAD in nonpsychiatric hospital.
- Serum BDNF levels in patients with gambling disorder are associated with the severity of gambling disorder and Iowa Gambling Task indices. [Journal Article]
- JBJ Behav Addict 2016; 5(1):135-139
- Background and aims Gambling disorder (GD) shares many similarities with substance use disorders (SUDs) in clinical, neurobiological, and neurocognitive features, including decision-making. We evalua...
Background and aims Gambling disorder (GD) shares many similarities with substance use disorders (SUDs) in clinical, neurobiological, and neurocognitive features, including decision-making. We evaluated the relationships among, GD, decision-making, and brain-derived neurotrophic factor (BDNF), as measured by serum BDNF levels. Methods Twenty-one male patients with GD and 21 healthy sex- and age-matched control subjects were evaluated for associations between serum BDNF levels and the Problem Gambling Severity Index (PGSI), as well as between serum BDNF levels and Iowa Gambling Task (IGT) indices. Results The mean serum BDNF levels were significantly increased in patients with GD compared to healthy controls. A significant correlation between serum BDNF levels and PGSI scores was found when controlling for age, depression, and duration of GD. A significant negative correlation was obtained between serum BDNF levels and IGT improvement scores. Discussion These findings support the hypothesis that serum BDNF levels constitute a dual biomarker for the neuroendocrine changes and the severity of GD in patients. Serum BDNF level may serve as an indicator of poor decision-making performance and learning processes in GD and help to identify the common physiological underpinnings between GD and SUDs.
- Comparing human resource planning models in dentistry: A case study using Canadian Armed Forces dental clinics. [Journal Article]
- CDCommunity Dent Oral Epidemiol 2017 Jan 16
- CONCLUSIONS: The findings reveal differences between estimation models of <1 FTE, with higher estimates produced from the dentist-to-population ratio model. A larger difference was found in clinics with larger populations. The perceived overestimation of dental human resource requirements suggests that changing to a needs-based model may result in cost savings.
- Allocation and simulation study of carbon emission quotas among China's provinces in 2020. [Journal Article]
- ESEnviron Sci Pollut Res Int 2017 Jan 16
- China will form its carbon market in 2017 to focus on the allocation of regional carbon emission quota in order to cope with global warming. The rationality of the regional allocation has become an i...
China will form its carbon market in 2017 to focus on the allocation of regional carbon emission quota in order to cope with global warming. The rationality of the regional allocation has become an important consideration for the government in ensuring stable growth in different regions that are experiencing disparity in resource endowment and economic status. Based on constructing the quota allocation indicator system for carbon emission, the emission quota for each province in different scenarios and schemes in 2020 is simulated by the multifactor hybrid weighted Shannon entropy allocation model. The following conclusions are drawn: (1) The top 5 secondary-level indicators that influence provincial quota allocation in weight are as follows: per capita energy consumption, openness, per capita carbon emission, per capita disposable income, and energy intensity. (2) The ratio of carbon emission in 2020 is different from that in 2013 in many scenarios, and the variation is scenario 2 > scenario 1 > scenario 3, with Hubei and Guangdong the provinces with the largest increase and decrease ratios, respectively. (3) In the same scenario, the quota allocation varies in different reduction criteria emphases; if the government emphasizes reduction efficiency, scheme 1 will show obvious adjustment, that is, Hunan, Hubei, Guizhou, and Yunnan will have the largest decrease. The amounts are 4.28, 8.31, 4.04, and 5.97 million tons, respectively.
- Ocular mycobacteriosis-dual infection of M. tuberculosis complex with M. fortuitum and M. bovis. [Journal Article]
- JOJ Ophthalmic Inflamm Infect 2017; 7(1):2
- CONCLUSIONS: Co-infection of M. tuberculosis complex with nontubercular mycobacterium (NTM) has never been reported from ocular tuberculosis before. In immunosuppressed individuals, who test positive for MTB, not responding to the standard ATT, one needs to have a high index of clinical suspicion to rule out associated NTM infection and initiate appropriate multidrug systemic antibiotic therapy early.
- The Role of Adolescent Friendship Group Integration and Cohesion in Weapon-Related Violent Crime as a Young Adult. [Journal Article]
- JYJ Youth Adolesc 2017 Jan 16
- Weapon-related violent crime is a serious, complex, and multifaceted public health problem. The present study uses data from Waves I and III of Add Health (n = 10,482, 54% female) to examine how frie...
Weapon-related violent crime is a serious, complex, and multifaceted public health problem. The present study uses data from Waves I and III of Add Health (n = 10,482, 54% female) to examine how friendship group integration and cohesion in adolescence (ages 12-19) is associated with weapon-related criminal activity as a young adult (ages 18-26). Results indicate that greater cohesion in friendship groups is associated with significantly lower weapon-related criminal activity in young adulthood. In addition, for adolescent girls, a greater number of close friendship ties-an indicator of friendship group integration-is associated with less weapon-related criminal activity in young adulthood. These findings suggest that school-based initiatives to facilitate inclusive and cohesive adolescent peer communities may be an effective strategy to curb weapon-related criminal activity in young adulthood.
- Effect of high ambient temperature on behavior of sheep under semi-arid tropical environment. [Journal Article]
- IJInt J Biometeorol 2017 Jan 13
- High environmental temperature is a major constraint in sheep production under semi-arid tropical environment. Behavior is the earliest indicator of animal's adaptation and responses to the environme...
High environmental temperature is a major constraint in sheep production under semi-arid tropical environment. Behavior is the earliest indicator of animal's adaptation and responses to the environmental alteration. Therefore, the objective of this study was to assess the effects of high ambient temperature on the behavior of sheep under a semi-arid tropical environment. The experiment was conducted for 6 weeks on 16 Malpura cross (Garole × Malpura × Malpura (GMM)) rams. The rams were divided equally into two groups, designated as C and T. The rams of C were kept in comfortable environmental conditions served as control. The rams of T were exposed to a different temperature at different hours of the day in a climatic chamber, to simulate a high environmental temperature of summer in semi-arid tropic. The behavioral observations were taken by direct instantaneous observation at 15-min intervals for each animal individually. The feeding, ruminating, standing, and lying behaviors were recorded twice a week from morning (0800 hours) to afternoon (1700 hours) for 6 weeks. Exposure of rams to high temperature (T) significantly (P < 0.05) decreased the proportion of time spent in feeding during the observation period in most of the hours of the day as compared to the C. The proportion of time spent in rumination and lying was significantly (P < 0.05) lower in the T group compared to the C. The animals of T spent significantly (P < 0.05) more time in rumination in standing position as compared to the C. The overall proportion of time spent in standing, panting in each hour, and total panting time was significantly (P < 0.05) higher in the T as compared to the C. The result of the study indicates that the exposure of sheep to high ambient temperature severely modulates the behavior of sheep which is directed to circumvent the effect of the stressor.
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- Evaluation of hyperspectral LiDAR for monitoring rice leaf nitrogen by comparison with multispectral LiDAR and passive spectrometer. [Journal Article]
- SRSci Rep 2017 Jan 16; 7:40362
- Fast and nondestructive assessment of leaf nitrogen concentration (LNC) is critical for crop growth diagnosis and nitrogen management guidance. In the last decade, multispectral LiDAR (MSL) systems h...
Fast and nondestructive assessment of leaf nitrogen concentration (LNC) is critical for crop growth diagnosis and nitrogen management guidance. In the last decade, multispectral LiDAR (MSL) systems have promoted developments in the earth and ecological sciences with the additional spectral information. With more wavelengths than MSL, the hyperspectral LiDAR (HSL) system provides greater possibilities for remote sensing crop physiological conditions. This study compared the performance of ASD FieldSpec Pro FR, MSL, and HSL for estimating rice (Oryza sativa) LNC. Spectral reflectance and biochemical composition were determined in rice leaves of different cultivars (Yongyou 4949 and Yangliangyou 6) throughout two growing seasons (2014-2015). Results demonstrated that HSL provided the best indicator for predicting rice LNC, yielding a coefficient of determination (R(2)) of 0.74 and a root mean square error of 2.80 mg/g with a support vector machine, similar to the performance of ASD (R(2) = 0.73). Estimation of rice LNC could be significantly improved with the finer spectral resolution of HSL compared with MSL (R(2) = 0.56).