Differential evolution (DE) is one of the highly acknowledged population-based optimization
algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems …

A parametric optimization framework for the steam cycle of a typical pressurized water
reactor (PWR) nuclear power plants (NPP)(ie Daya Bay nuclear plant) is proposed. The …

This work deals with the optimal dimensional synthesis of planar linkages. The paper
proposes a new search procedure to obtain the best linkage by means of hybridizing a Local …

Thetermmemeticalgorithms [1](MAs) wasintroducedinthelate1980stodenoteafam… that have
as central theme the hybridization of different algorithmic approaches for a given problem …

Memetic algorithms with an appropriate trade‐off between the exploration and exploitation
can obtain very good results in continuous optimization. In this paper, we present an …

Through modeling human's brainstorming process, the brain storm optimization (BSO)
algorithm has become a promising population-based evolutionary algorithm. However, BSO …

Aiming at improving the reliability of the hydraulic servo actuator constructed using a nozzle-
flapper servo valve, the design of a servo actuator with a combination of electro-hydraulic …

Sayısal iyileştirme, mühendislik alanında en çok uğraşılan problemlerden biridir. Bu
çalışmada, son zamanlarda geliştirilen Çift-Girişim Tabanlı İyileştirme Algoritması'nın (Bi …

An accurate mathematical model has a vital role in controlling and synchronization of
different systems. But generally in real-world problems, parameters are mixed with …

Most of the hybrid algorithms are produced by combination of a global optimization
algorithm with a local search algorithm. In this paper, the focus is on a simple and efficient …