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This paper proposes a computational model along with an algorithm for a new problem in computer-aided design of systems. The new problem stems from a so-called rapid prototyping of system (RPS) technology the authors developed elsewhere before. The RPS has learned from traditional rapid prototyping technique which is in essence to construct a component from the material (liquid, sheet, etc.); but...
This study proposes a novel recombination operator, called hybrid crossover operator (HX), which is performed in gene level of chromosome to enhance the optimization performance of multi-objective evolutionary algorithms (MOEAs). The proposed HX operator combines the advantages of simulated binary crossover with local search ability and differential evolution with strong global search capability....
In recent years the power scenario has gone through a major overhaul with the deregulation of electricity market and introduction of renewable sources into the system. Automatic generation control (AGC) is one of the important ancillary services present in the power system. This work represents an automatic generation control scheme for an interconnected three area hybrid power system in deregulated...
A new modified differential evolution algorithm DE-BEA, is proposed to improve the reliability of the standard DE/current-to-rand/1/bin by implementing a new mutation scheme inspired by the bacterial evolutionary algorithm (BEA). The crossover and the selection schemes of the DE method are also modified to fit the new DE-BEA mechanism. The new scheme diversifies the population by applying to all the...
The paper is introducing the principles of a new global optimization strategy, Imperialistic Strategy (IS), applied to the Continuous Global Optimization Problem (CGOP). Inspired from existing multi-population strategies, like the Island Model (IM) approaches to parallel Evolutionary Algorithms (EA) and the Imperialistic Competitive Algorithm (ICA), the proposed IS method is considered an optimization...
Mention detection is an important component in anaphora resolution. In this paper we present our works on mention detection based on differential evolution (DE). The proposed technique consists of two steps, viz. feature selection and classifier ensemble. In the first step the algorithm performs automatic feature selection for two machine learning algorithms, namely Conditional Random Field (CRF)...
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