The Charged System Search (CSS) is combined to chaos to solve mathematical global optimization problems. The CSS is a recently developed meta-heuristic optimization technique inspired by the governing laws of physics and mechanics. The present study introduces chaos into the CSS in order to increase its global search mobility for a better global optimization. Nine chaos-based CSS (CCSS) methods...

Since Holland and Reitman [2] published their CS-1 a great amount of studies concerning classifiers systems (CSs) have appeared. The needs of studying crucial matters in the functioning of CS determined that researchers paid little attention to the evolutionary component of these systems. Nevertheless in the last years GA's have experienced a considerable development that makes necessary to rev...

The present study encompasses a new method to simultaneous analysis, design and optimization of Water Distribution Systems (WDSs). In this method, analysis procedure is carried out using Charged System Search (CSS) optimization algorithm. Besides design and cost optimization of WDSs are performed simultaneous with analysis process using a new objective function in order to satisfying the analys...

Abstract Cooperative spectrum sensing (CSS) is a process of achieving spatial diversity gain to make global decision for cognitive radio networks (CRNs). However, the accuracy effects owing presence Byzantine during cooperative sensing, therefore causing severe performance degradation CSS. In front malicious users (MUs) launching attack, robust defense framework proposed defend against attack a...

churg-strauss syndrome (css) is a small vessel granulomatous vasculitis that characteristically affects the middle age group and is extremely rare in children. we describe an 8-year-old girl with a prolonged history of cough and eosinophilia that initially was labeled as pulmonary tuberculosis, but after complementary assays, associated with skin biopsy, eosinophilic fibrinoid vasculitis, css w...

Since their definition in 1992, Least Common Subsumers (LCSs) have been identified as services supporting learning by examples. Nowadays, the Web of Data offers a hypothetically unlimited dataset of interlinked and machine-understandable examples modeled as RDF resources. Such an open and continuously evolving information source is then really worth investigation to learn significant facts. In ...

Mobile edge computing (MEC) has been proposed as a promising solution, which enables the content processing at edges of network helping to significantly improve quality experience (QoE) end users. In this article, we aim utilize MEC facilities integrated with time-varying renewable energy resources for charging/discharging scheduling known green on-move electric vehicles (EVs) in geographical w...