Abstract— The aim of this paper is to study the tuning of a PID controller using swarm optimization techniques. In this paper, comparative performance of PSO and BF-PSO based PID controller is analyzed. PSO algorithm converges rapidly during the initial stages of a global search, but around global optimum, the search process slows down. In order to overcome this problem and to further enhance t...

In the original particle swarm optimisation (PSO) algorithm, the particles' velocities and positions are updated after the whole swarm performance is evaluated. This algorithm is also known as synchronous PSO (S-PSO). The strength of this update method is in the exploitation of the information. Asynchronous update PSO (A-PSO) has been proposed as an alternative to S-PSO. A particle in A-PSO upd...

Although Particle Swarm Optimization (PSO) has demonstrated competitive performance in solving global optimization problems, it exhibits some limitations when dealing with optimization problems with high dimensionality and complex landscape. In this paper, we integrate some problem-oriented knowledge into the design of a certain PSO variant. The resulting novel PSO algorithm with an inner varia...

OBJECTIVE To compare the prevalence of comorbidities, health care utilization, and costs between moderate-to-severe psoriasis (PsO) patients with comorbid psoriatic arthritis (PsA) and matched controls. METHODS Adults ages 18-64 years with concomitant diagnoses of PsO and PsA (PsO+PsA) were identified in the OptumHealth Reporting and Insights claims database between January 2007 and March 201...

هدف: پژوهش حاضر با هدف تعیین نقش تعاملی خود­شفقت ­ورزی زوجین در تنظیم شناختی هیجان خود و همسر به روش مدل­سازی وابستگی متقابل عامل-شریک انجام شد. روش: از نوع توصیفی_همبستگی مدل­ یابی معادلات ساختاری بود. جامعه آماری شامل کلیه ساکن شهر تهران سال 1399 بود که بین آن‌ها 167 زوج (334 شرکت ­کننده) نمونه­ گیری دردسترس ­عنوان نمونه انتخاب برای گرداوری داده­ ها پرسشنامه راهبردهای تنظیم­ هیجان_فرم کوتاه گ...

Particle Swarm Optimization (PSO) is a popular population-based optimization algorithm. While PSO has been shown to perform well in a large variety of problems, PSO is typically implemented in software. Population-based optimization algorithms such as PSO are well suited for execution in parallel stages. This allows PSO to be implemented directly in hardware and achieve much faster execution ti...

Particle Swarm Optimization (PSO) is a population based optimal method and very simple in both theory and numerical implementation. Nowadays, PSO has been recognized as a paradigm for numerical optimizations; however, PSO is easily trapped into a local optimum when solving multidimensional and complex problems. In order to overcome this difficulty, this paper presents a modified PSO with a dyna...

In order to effectively solve combinatorial optimization problems, the Estimation of Distribution Algorithm (EDA) and Particle Swarm Optimization (PSO) combine to form a new ED-PSO hybrid algorithm, the algorithm can effectively apply global statistical information and global optimal solution to the solution space search. This algorithm is used to solve the Multidimensional Knapsack Problem (MK...