Earticle

The ant colony optimization (ACO) algorithm is a classical metaheuristic optimization algorithm. However, the conventional ACO was liable to trap in the local minimum and has an inherent slow rate of convergence. In this work, we propose a novel combinatorial ACO algorithm (CG-ACO) to alleviate these limitations. The genetic algorithm and the cloud model were embedded into the ACO to find better initial solutions and the optimal parameters. In the experiment section, we compared CG-ACO with the state-of-the-art methods and discussed the parameter stability of CG-ACO. The experiment results showed that the CG-ACO achieved better performance than ACO_R, simple genetic algorithm (SGA), CQPSO and CAFSA and was more likely to reach the global optimal solution.

본 논문에서는 열 두가지의 가능한 지지조건을 갖는 연속 곡평면 2방향 슬래브 시스템에 대하여 실용적이고 간편한 수치해석과 최적 설계 방법을 제시하였다. 얇은 곡평판의 탄성이론에 의하여 유도된 설계모멘트 계수를 이용하여, 구조해석을 하는 수치해석 방법을 본 연구에서는 사용하였다. 최적화의 결과는 한계상태 설계법에 의해서 정의된 feasible 영역내에서 결정되도록 유도하였으며 슬래브의 주재료 경비함수를 변형시켜 유도한 목적함수는 한계상태 설계의 규정에 따라 역학적 거동의 문제와 사용성 제약조건을 모두 만족하연서 최적화에 이르도록 하였다. 형성된 최적화 문제는 고차의 비선형 문제로 유도 되었으며 이 비선형 최적화 문제를 연속 선형계획법을 이용하여 해석하므서 슬래브의 유효깊이와 중간대 및 주열대의 단위폭당 변형시킨 철근비들의 최적 설계변수들을 구하였다.

A Practical and easily applicable methods for the numerical analysis and the optimum design of continuous and horizontally curved two-way slab systems with twelve possible edge conditions are presented. The proposed method for the numerical structural analysis is based on the use of design moment coefficients which are derived from the elastic theory of thin curved plates. The optimum values are selected from within the feasible region in the design space defined by the limit state requirements. The sequential linear programming is introduced as an analytical method of nonlinear optimization. The optimum design variables, including a effective depth and transformed steel ratios per unit width of middle and column strips of slabs, are then determined.

본 연구에서는 공공하수처리시설에 적용되는 상향류식 연속여과(Upflow continuous filtration) 공정의 총인(Total Phosphorus, TP) 제거 성능 향상과 운전 안정성 확보를 목적으로 전산유체역학(Computational Fluid Dynamics, CFD) 기반 수리학적 최적화를 수행하였다. 대상 시설인 강내 공공하수처리시설의 2023년 1월부터 2025년 10월까지 장기 운영자료를 분석하여 기존 IPNR(Ilshin Phosphorus Nitrogen Removal) 공정의 처리 특성과 수리학적 개선 필요성을 평가하였다. 또한 공정 내부 유동 특성을 분석하기 위해 CFD 해석을 수행하였으며, 응집 및 침전 효율 향상을 위한 Dual-Hydrocyclone과 경사판 침전 모듈을 적용하였다. CFD 해석 결과, 유입 유속 0.79 m/s 조건에서 안정적인 이중 선회류(Double vortex structure)가 형성되어 응집제와 원수 간 혼합 효율 향상에 유리한 유동 환경이 형성되는 것으로 나타났다. CFD 결과를 기반으로 구축한 파일럿 시스템 운전 결과, 처리수 TP 농도는 0.07–0.16 mg/L(평균 0.10 mg/L) 범위로 유지되었으며, 평균 TP 제거율은 77.8%로 나타났다. 또한 SS 제거율은 84.2%로 확인되어 입자성 물질 제거 및 플록(Floc) 침전 성능이 향상된 것으로 판단되었다. 본 연구 결과는 CFD 기반 수리학적 분석과 구조 개선을 통해 기존 상향류식 연속여과 공정의 TP 제거 성능 및 운영 안정성을 향상시킬 수 있는 적용 가능성을 제시하였다.

Advanced phosphorus removal using upflow continuous filtration processes has been applied in public wastewater treatment plants; however, hydraulic instability during coagulation and sedimentation can affect long-term process reliability. In this study, hydraulic improvement strategies were investigated for an Ilshin Phosphorus Nitrogen Removal (IPNR) process to enhance total phosphorus (TP) removal performance. Long-term operational data analysis, computational fluid dynamics (CFD) simulation, and pilot-scale operation were conducted to evaluate the proposed process. A Dual- Hydrocyclone and inclined plate sedimentation module were applied to improve mixing characteristics and sedimentation efficiency. CFD results showed that an inlet velocity of 0.79 m/s formed a stable double vortex structure inside the Hydrocyclone, while excessive shear conditions were avoided. Under the optimized condition, the pilot-scale system achieved an average TP removal efficiency of 77.8%, and the effluent TP concentration ranged from 0.07 to 0.16 mg/L with an average value of 0.10 mg/L. The suspended solids removal efficiency was 84.2%, indicating enhanced particulate removal capability of the proposed system. These results suggest that CFD-based hydraulic optimization can improve TP removal stability of upflow continuous filtration processes with minimal modification of existing facilities.

The Harmony Search is a relatively new meta-heuristic algorithm for continuous optimization, in which its concept imitates the process of music improvisation. This paper proposes an improved harmony search algorithm called Harmony Search with Adaptive Pitch Adjustment (HSAPA). The adaptive pitch adjustment scheme during a search period is inspired from the velocity clamping in particle swarm optimizations. The pitch adjustment rate is also dynamically adapted. The proposed algorithm is evaluated using thirteen well-known benchmark functions of various characteristics. The experiment is performed using both 30 and 100 dimensions to investigate its performance at both medium and high number of decision variables. The experimental results demonstrate that HSAPA is reliably superior to all prior well-known harmony search variants and a recent widely-accepted variant of Differential Evolution algorithm. Furthermore, performance of HSAPA is shown not to be sensitive to its new parameter, which regulates the size of pitch adjustment.

서울 인근의 생활하수에서 메탄올을 이용하는 박테리아를 분리하였다. 이의 최적 성장을 위한 온도 및 pH는 각각 33℃ 및 7.1이었다. 최대비성장율은 0.42hr-1을 나타내었다. 최소 배지조성은 기본배지의 양을 안정상테에서 연속발효법으로 구하였으며, 그 조성은 다음과 같다(g / l); Methanol 40, 최적 배지 조건에서 구한 최대 세포생산성은 3.8g / l / hr였으며, 이때의 회석율은0.23hr-1 이었다. 최대 세포농도와 그대의 단백질의 함량은 각각 19.5g / l 및 70%였으며, 이때의 회석율은 0.1hr-1이었다

Methanol-utilizing bacterium isolated from sewage samples in Seoul showed optimal temperature and pH of 33℃ and 7.1 for growth, respectively. The maximum specific growth rate was 0.42hr-1. The minimum medium composition was reconstituted depending on the surplus and the deficit of each component in the basal medium at steady state. The optimal composition was given as(g/l); Methanol 40, Under the continuous culture with optimum medium the maximum cell productivity was 3.8g/1/hr at dilution rate . Maximum cell concentration and its protein content were 19.5g/l and 70% at dilution rate of 0.1hr-1, respectively.

Epidemiological studies showed that high trans-fat consumption is closely associated with getting the risks ofcardiovascular disease. The objective of this study was to produce trans-free fat through lipase-catalyzed interesterification, asa substitute for the cream margarine commonly used in industry. Optimum conditions for interesterification in a packed bedenzyme bioreactor (PBEB) were determined using response surface methodology (RSM) based on central composite design.Three kinds of reaction variables were chosen, such as substrate flow rate (0.4-1.2mL/min), reaction temperature (60-70oC),and ratio of fully hydrogenated canola oil (FHCO, 35-45%) to evaluate their effects on the degree of interesterification.Optimum conditions from the standpoint of solid fat content (SFC) were found to be as follows: 0.4 mL/min flow rate, 64.7oCreaction temperate, and 42.8% (w/w) ratio of FHCO, respectively. The half-life of immobilized lipase in PBEB with twostages at 60oC (1st stage) and 55oC (2nd stage) was about more than 30 days as estimated by extrapolating the incubation timecourse of tristearoyl glycerol (TS) conversion, whereas the half-life of the enzyme in PBEB with single stage at 65oC wasonly about 15 days. Finally, the results from SFC analysis suggest that trans-free fat produced in this study seems to be asuitable substitute for the cream margarine commonly used in industry

Nature has provided inspiration for most of the man-made technologies. Scientists believe that dolphins are the second to humans in smartness and intelligence. Echolocation is the biological sonar used by dolphins for navigation and hunting in various environments. This ability of dolphins is mimicked in this paper to develop a new optimization method. Dolphin Echolocation Optimization (DEO) is an optimization method based on dolphin's approach for hunting food and exploration of environment. DEO has already been developed for discrete optimization search space and here it is extended to continuous search space. DEO has simple rules and is adjustable for predetermined computational cost. DEO provides the optimum results and leads to alternative optimality curves suitable for the problem. This algorithm has a few parameters and it is applicable to a wide range of problems like other metaheuristic algorithms. In the present work, the efficiency of this approach is demonstrated using standard benchmark problems.

Removal of COD and TSS from rice mill wastewater was investigated using continuous electrocoagulation method (CEC). The electrical energy consumption (EEC) of the process was also examined in order to evaluate the economic viability. The Box-Behnken statistical experiment design (BBD) and response surface methodology (RSM) were used to investigate the effects of major operating variables. Initial pH, current density, electrode distance and flow rate were selected as independent variables in BBD while COD removal, TSS removal and EEC were considered as the response functions. The predicted values of responses obtained using the response function was in good agreement with the experimental data. Optimum operating conditions were found to be pH of 7, current density of 15 mA $cm^{-2}$, electrode distance of 5 cm and flow rate of 70 ml/min. Under these conditions, greater than 89% removal of COD and TSS were obtained with EEC value of 7 KWh.

Previous research has shown that the flow of patients around departments of geriatric medicine and ex-patients in the community may be-modelled by the application of a mixed-exponential distribution. In this proper we considered a ave-compartment model using a continuous-time Markov process to describe the flow of patients. Using a M/ph/c queuing model, we present a way of optimizing the number of beds in order to maintain an acceptable delay probability a sufficiently low level. Finally, we constructed a Java computer simulation, using data from St George's Hospital, London.

In this paper, we proposed a new method for the determination of strategies that are required in a continuous optimization algorithm based on the fictitious play theory. In order to apply the fictitious play theory to continuous optimization problems, it is necessary to express continuous values of a variable in terms of discrete strategies. In this paper, we proposed a method in which all strategies contain an equal number of selected real values that are sorted in their magnitudes. For comparative analysis of the characteristics and performance of the proposed method of representing strategies with respect to the conventional method, we applied the method to the two types of benchmarking functions: separable and inseparable functions. From the experimental results, we can infer that, in the case of the separable functions, the proposed method not only outperforms but is more stable. In the case of inseparable functions, on the contrary, the performance of the optimization depends on the benchmarking functions. In particular, there is a rather strong correlation between the performance and stability regardless of the benchmarking functions.

이 연구에서는 MAP-Elites 알고리즘의 연속 최적화 성능을 향상한 새로운 접근법을 제안한다. 기존의 자기 참조 MAP-Elites 알고리즘은 차분 진화 알고리즘의 "DE/rand/1/bin" 연산자를 사용했는데, 이 연산자는 회전 불변이 아니라서 각 변수 간의 상관관계가 높은 경우 성능이 감소하는 문제가 존재한다. 제안하는 알고리즘은 "DE/rand/1/bin" 연산자 대신에 "DE/current-to-rand/1" 연산자를 사용한다. 이 연산자는 회전 불변성을 가지므로 각 변수 간의 상관관계가 높은 분리 불가능 최적화 문제에서도 강건한 성능을 보장할 수 있다. 실험 결과, 제안하는 알고리즘이 비교 알고리즘들에 비해 높은 성능을 발휘함을 확인했다.

In this paper, we propose a new approach that enhances the continuous optimization performance of the MAP-Elites algorithm. The existing self-referencing MAP-Elites algorithm employed the "DE/rand/1/bin" operator from the differential evolution algorithm, which, due to its lack of rotational invariance, led to a degradation in optimization performance when there were high correlations among variables. The proposed algorithm replaces the "DE/rand/1/bin" operator with the "DE/current-to-rand/1" operator. This operator, possessing rotational invariance, ensures robust performance even in cases where there are high correlations among variables. Experimental results confirm that the proposed algorithm performs better than the comparison algorithms.

본 논문에서는 지속적으로 최적화된 인공지능 모델을 적용하기 위한 방안으로 연합 학습(Federated Learning)을 활용한 접근법을 제시한다. 최근 다양한 산업 분야에서 인공지능 활용에 대한 필요성이 증가하고 있다. 금융과 같은 일부 산업은 강력한 보안, 높은 정확도, 규제 준수, 실시간 대응이 요구됨과 동시에 정적 시스템 환경 특성으로 적용된 인공지능 모델의 최적화가 어렵다. 이러한 환경적 한계 해결을 위하여, 연합 학습을 통한 모델의 최적화 방안을 제안한다. 연합 학습은 데이터 프라이버시를 유지하면서 모델의 지속적 최적화를 제공이 가능한 강력한 아키텍처이다. 그러나 연합 학습은 클라이언트와 중앙 서버의 반복적인 통신과 학습으로, 불필요한 자원에 대한 소요가 요구된다. 이러한 연합 학습의 단점 극복을 위하여, 주요도 높은 클라이언트의 선정 및 클라이언트와 중앙 서버의 조기 중단(early stopping) 전략을 통한 지속적, 효율적 최적화가 가능한 연합 학습 모델의 운영 전략을 제시한다.

The results of optimum design by the deterministic approach adopted in the current design codes depend upon the safety levels of the applied code. But, it is now generally recognized that structural problems are nondeterministic and, consequently, that engineering optimum design must cope with uncertainties. Therefore, it is not an overstatement to affirm that the combination of reliability-based design procedures and optimization techniques is the only means of providing a powerful tool to obtain a practical optimum design solution. In the paper, reliability based optimum design procedure as a rational approach to optimum structural design is presented. The design constraints are formulated based on the ASD, LRFD and reliability theories. The reliability analysis is based on an advanced first-order second moment approach. Uncertainties in the structural strength and loading due to inherent variability as well as modeling and prediction errors are included in failure due to combined bending and shear. For the realistic reliability-based optimization of continuous steel box girder bridges, interactive non-linear limit state model is formulated based on the von Mises's combined stress yield criterion. Comparative results are presented when the ASD criteria are used for the optimum design of a structure under reliability constraints. In addition, this study comparatively shows the results of the optimum design for various criteria of design codes.

The integration method of binary and real encoding in genetic algorithm is proposed to deal with design variables of various types in gear drive design. The method is applied to optimum design of multi-stage gear drive. Integer and Discrete type design variables represent the number of teeth and module, and continuous type design variables represent face width, helix angle and addendum modification factor etc. The proposed genetic algorithm is applied for the gear ratio optimization and the volume optimization(minimization) of multi-stage geared motor which is used in field. In result, the proposed design optimization method shows an effectiveness in optimum design process and the new design has a better results compared with the existing design.

기존의 진화 연산의 한계를 극복하기 위해서 탐색점 분포 학습 알고리즘(Estimation of Distribution Algorithm)이 부각되고 있다. 탐색점 분포 학습 알고리즘은 데이터의 분포를 파악하고, 파악된 분포를 이용해서 새로운 학습 데이터를 생성하는 일련의 과정을 통하여 최적화 문제를 해결하는 방법이다. 그런데, 기존의 탐색점 분포 학습 알고리즘들은 대부분 이진 벡터값을 가지는 최적화 문제들만을 대상으로 하고 있다. 본 논문에서는 비감독 확률 신경망 모델인 헬름홀츠 머신을 이용해서 데이터의 분포를 학습하여 연속 함수 최적화 문제를 해결하는 방법을 개발하였다. 테스트 함수들에 대해서 실수 표현형을 사용한 유전자 알고리즘과 결과를 비교하여 제안하는 방법의 우수성을 검증하였다.

연속 변수 함수 최적화를 위한 진화 연산에서는 전통적으로 확률 분포를 도입하여 새로운 세대를 생성하는 기법을 사용하고 있다. 최근 들어 이러한 확률 분포를 개체군으로부터 추정하여 보다 효율적으로 최적화를 해결하려는 연구가 진행되고 있다. 본 논문에서는 variational 베이지안 혼합 인자 분석 기법(Bayesian mixtures of factor analyzers)을 사용한 개체군의 분포 추정을 통해 연속 변수 함수의 최적화 문제를 해결하는 방법을 제안한다. 이 기법은 혼합 분포의 개수 추정을 자동화하여 개체군의 다양성을 유지할 수 있기 때문에 지역 최적점으로 일찍 수렴하는 현상을 방지할 수 있으며, 세부 개체군 내의 분포 추정을 통해 탐색을 효율적으로 수행할 수 있다. 잘 알려진 평가 함수들에 대하여 다른 분포 추정 진화 연산과 비교하여 제안하는 방법의 우수성을 검증하였다.

연속 변수 함수 최적화를 위한 진화 연산에서는 전통적으로 확률 분포를 도입하여 새로운 세대를 생성하는 기법을 사용하고 있다. 최근 들어 이러한 확률 분포를 개체군으로부터 추정하여 보다 효율적으로 최적화를 해결하려는 연구가 진행되고 있다. 본 논문에서는 variational 베이지안 혼합 인자 분석 기법(Bayesian mixtures of factor analyzers)을 사용한 개체군의 분포 추정을 통해 연속 변수 함수의 최적화 문제를 해결하는 방법을 제안한다. 이 기법은 혼합 분포의 개수 추정을 자동화하여 개체군의 다양성을 유지할 수 있기 때문에 지역 최적점으로 일찍 수렴하는 현상을 방지할 수 있으며, 세부 개체군 내의 분포 추정을 통해 탐색을 효율적으로 수행할 수 있다. 잘 알려진 평가 함수들에 대하여 다른 분포 추정 진화 연산과 비교하여 제안하는 방법의 우수성을 검증하였다.