In the past few decades, climatic changes led by environmental pollution, emittance of greenhouse gases, and emergence brown energy utilization have to global warming. Global warming increases Earth's temperature, thereby causing severe effects on human conditions threatening livelihoods millions people. issues are increase in temperatures that lead heat strokes high-temperature-related disease...

This paper introduces an effectual technique to solve the DNA sequence assembly problem using a variance of the standard Particle Swarm Optimization (PSO) called the Constriction factor Particle Swarm Optimization (CPSO).The problem of sequence assembly is one of the primary problems in computational molecular biology that requires optimization methodologies to rebuild the original DNA sequence...

In this paper, an optimal redundant instrumentation sensor network design methodology is presented for complex chemical process plants using a combinatorial particle swarm optimization search (CPSO) engine. The approach, which is more flexible and general in comparison with previous works, aims to minimize cost as a main design factor, similar to the usual trend in the literature. Besides, it c...

A novel multi-instance learning (MIL) method is proposed to recognize liver cancer with abdominal CT images based on instance optimization (IO) and support vector machine with parameters optimized by a combination algorithm of particle swarm optimization and local optimization (CPSO-SVM). Introducing MIL into liver cancer recognition can solve the problem of multiple regions of interest classif...

This paper deals with fractional order systems parameters estimation by use of Co-evolutionary Particle Swarm Optimization (CPSO) method. in some cases such as fractional order systems identification in spite of existing different methods, it is difficult to obtain estimation of model structure parameters and generally it leads to solving the with constrained complex non-linear optimization pro...

This study proposes a multi-objective optimization model of two cascade reservoirs in the Upper Yellow River basin for increasing social well-beings in general while simultaneously mitigating ice/flood threats. We first develop a strategy of dimensionality reduction and constraint transformation to largely diminish the complexity of the optimization system and next propose a novel search method...

Automatic Generation Control (AGC); Boiler dynamics; Generation Rate Constraint (GRC); Governor dead band; Proportional Integral Derivative (PID) controller; Differential Evolution (DE) algorithm Abstract This paper presents the design and performance analysis of Differential Evolution (DE) algorithm based Proportional–Integral (PI) and Proportional–Integral–Derivative (PID) controllers for Aut...

Objective To gauge the public's opinion of the College of Physicians and Surgeons of Ontario's (CPSO's) policy on how primary care physicians should accept new patients. Design Deliberative citizens' council. Setting Toronto, Ont. Participants Twenty-five public members of the Toronto Health Policy Citizens' Council. Methods A 2-day council session was held, during which the new policy was pres...

The office practices of 918 physicians selected through stratified random sampling from the College of Physicians and Surgeons of Ontario (CPSO) registry were assessed by peers and the Peer Assessment Committee of the CPSO from 1981 to 1985. The sample comprised 662 general practitioners (GPs) and family physicians (FPs) and 256 specialists in 11 fields. Of the physicians 749 (82%) had neither ...

Particle swarm optimization (PSO) has been widely used mainly due to its simple concept and its ability to converge to reasonable solution fast. However, this algorithm is always inefficient while optimizing complex global optimization problems because it is easy to be trapped into local optima. Researches into the combination of evolutionary operators with PSO is one of the most significant an...