Metaheuristics are commonly used in various fields,including real-life problem-solving and engineering applications.The present work introduces a novel metaheuristic algorithm named the Artificial Circulatory System A...Metaheuristics are commonly used in various fields,including real-life problem-solving and engineering applications.The present work introduces a novel metaheuristic algorithm named the Artificial Circulatory System Algorithm(ACSA).The control of the circulatory system inspires it and mimics the behavior of hormonal and neural regulators involved in this process.The work initially evaluates the effectiveness of the suggested approach on 16 two-dimensional test functions,identified as classical benchmark functions.The method was subsequently examined by application to 12 CEC 2022 benchmark problems of different complexities.Furthermore,the paper evaluates ACSA in comparison to 64 metaheuristic methods that are derived from different approaches,including evolutionary,human,physics,and swarm-based.Subsequently,a sequence of statistical tests was undertaken to examine the superiority of the suggested algorithm in comparison to the 7 most widely used algorithms in the existing literature.The results show that the ACSA strategy can quickly reach the global optimum,avoid getting trapped in local optima,and effectively maintain a balance between exploration and exploitation.ACSA outperformed 42 algorithms statistically,according to post-hoc tests.It also outperformed 9 algorithms quantitatively.The study concludes that ACSA offers competitive solutions in comparison to popüler methods.展开更多
Purpose: Having the child with Cerebral palsy is a very stressful experience for the family that could affect daily patterns and routines, habits, needs and occupational performances of all family members specially mo...Purpose: Having the child with Cerebral palsy is a very stressful experience for the family that could affect daily patterns and routines, habits, needs and occupational performances of all family members specially mothers. This study aimed to investigate life balance of mothers of children with Cerebral palsy (MCCPs) based on the Life Balance Model. Method: Fifty MCCPs aged 3 to 9 years with sample convenient method participated in this descriptive and cross-sectional study. The Severity of cerebral palsy was determined by Gross Motor Function Classification System (GMFCS) and Manual Ability Classification System (MACS) and the life balance of mothers was evaluated by Persian version of the LBI (P_LBI). The collected data were evaluated and analyzed using SPSS software. Results: The total mean score of LBI and its subscales showed that there is no balanced or very balanced life in mothers and they could be categorized to unbalanced (n = 21) and very unbalanced (n = 29). The total mean score of LBI was 1.46. χ2 test revealed statistically significant difference between two categories (unbalanced and very unbalanced) of mothers regarding GMFCS level (p = 0.009). Also, the total mean score of LBI and its subscales showed no significant difference between two categories (unbalanced and very unbalanced) regarding mother job and age and child age (p > 0.05) but it has significant difference regarding mother education (p = 0.009). Evaluation of the results of LBI and its different subscales indicated that the life balance at balanced or very balanced levels was not observed in any of the studied mothers, and they could be categorized in 2 groups of unbalanced (21 mothers ) and very unbalanced (29 mothers) (Table 2). Discussion: Based on the result of this study, mothers of Cerebral Palsy do not experience balanced life and this feeling of unbalance is related to the level of their child’s disability. Thus, it is necessary to consider this fact in family-centered evaluations and Occupational therapy interventions.展开更多
文摘Metaheuristics are commonly used in various fields,including real-life problem-solving and engineering applications.The present work introduces a novel metaheuristic algorithm named the Artificial Circulatory System Algorithm(ACSA).The control of the circulatory system inspires it and mimics the behavior of hormonal and neural regulators involved in this process.The work initially evaluates the effectiveness of the suggested approach on 16 two-dimensional test functions,identified as classical benchmark functions.The method was subsequently examined by application to 12 CEC 2022 benchmark problems of different complexities.Furthermore,the paper evaluates ACSA in comparison to 64 metaheuristic methods that are derived from different approaches,including evolutionary,human,physics,and swarm-based.Subsequently,a sequence of statistical tests was undertaken to examine the superiority of the suggested algorithm in comparison to the 7 most widely used algorithms in the existing literature.The results show that the ACSA strategy can quickly reach the global optimum,avoid getting trapped in local optima,and effectively maintain a balance between exploration and exploitation.ACSA outperformed 42 algorithms statistically,according to post-hoc tests.It also outperformed 9 algorithms quantitatively.The study concludes that ACSA offers competitive solutions in comparison to popüler methods.
文摘Purpose: Having the child with Cerebral palsy is a very stressful experience for the family that could affect daily patterns and routines, habits, needs and occupational performances of all family members specially mothers. This study aimed to investigate life balance of mothers of children with Cerebral palsy (MCCPs) based on the Life Balance Model. Method: Fifty MCCPs aged 3 to 9 years with sample convenient method participated in this descriptive and cross-sectional study. The Severity of cerebral palsy was determined by Gross Motor Function Classification System (GMFCS) and Manual Ability Classification System (MACS) and the life balance of mothers was evaluated by Persian version of the LBI (P_LBI). The collected data were evaluated and analyzed using SPSS software. Results: The total mean score of LBI and its subscales showed that there is no balanced or very balanced life in mothers and they could be categorized to unbalanced (n = 21) and very unbalanced (n = 29). The total mean score of LBI was 1.46. χ2 test revealed statistically significant difference between two categories (unbalanced and very unbalanced) of mothers regarding GMFCS level (p = 0.009). Also, the total mean score of LBI and its subscales showed no significant difference between two categories (unbalanced and very unbalanced) regarding mother job and age and child age (p > 0.05) but it has significant difference regarding mother education (p = 0.009). Evaluation of the results of LBI and its different subscales indicated that the life balance at balanced or very balanced levels was not observed in any of the studied mothers, and they could be categorized in 2 groups of unbalanced (21 mothers ) and very unbalanced (29 mothers) (Table 2). Discussion: Based on the result of this study, mothers of Cerebral Palsy do not experience balanced life and this feeling of unbalance is related to the level of their child’s disability. Thus, it is necessary to consider this fact in family-centered evaluations and Occupational therapy interventions.
