This study investigates the effect of different objective functions on the topology optimization of a loudspeaker basket for structural resonance avoidance. Three objective functions were considered: maximization of the first natural frequency, minimization of static strain energy, and minimization of dynamic strain energy. The results show that, for all objective functions, the first natural frequency increased significantly compared to the initial design, while both static and dynamic strain energies were reduced, indicating effective suppression of structural resonance. Although the performance differences among the objective functions were not substantial, minimization of static and dynamic strain energy exhibited higher computational efficiency compared to natural frequency maximization. In particular, minimization of static strain energy demonstrated advantages in computational efficiency and ease of implementation, suggesting it as a practical alternative for resonance-avoidance design of loudspeaker baskets. This study highlights the importance of objective function selection by quantitatively comparing optimization outcomes under different formulations.

This paper considers a single machine scheduling problem where the machine is shared by multiple sub-production systems. Each sub-production systems has heterogeneous local objectives (e.g., minimization of total completion time, maximum tardiness and makespan). In a distributed manufacturing environment, no sub-production system has complete information (e.g., processing time, due date) of the entire system. This paper provides a distributed scheduling method to find close-to-optimal coordination on the shared machine using minimum local information sharing among sub-production systems. The proposed method is compared to pareto solution that can be found in a centralized environment.

최적화란 목적함수가 최대 또는 최소가 되도록 하는 결정변수를 찾아가는 절차이다. 기존의 많은 연구자들은 최적해의 효율적인 탐색과정에 집중한 반면 최적화의 시작점이라 할 수 있는 목적함수 구성을 위한 연구는 상대적으로 미진한 것이 사실이다. 따라서 본 연구에서는 국내외에서 빈번히 사용되고 있는 가중평균법을 사용하여 tradeoff를 고려한 목적함수와 절대우선순위를 위한 가중값을 적용한 목적함수를 구성하여 표본추계학적 동적계획법을 통해 산정한 최적운영률을

일 단위 강우-유출 모형인 SIMHYD와 TANK를 소양강댐과 영천댐 유역에 적용하여 유출을 예측하였다. 7개의 매개변수를 가진 SIMHYD와 17개의 변수를 가진 TANK모형을 국내 유역에 적용하여 모형의 적용성을 비교 평가하였다. 두 모형에 세 가지 목적함수를 달리하여 세 가지의 최적화 방법(유전자 알고리즘, Pattern Search MUlti-Start, Shuffled Complex Evolution Algorithm)을 적용하여 모형과 목적함