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Index fund optimization is one of portfolio optimizations and can be viewed as a combinatorial optimization for portfolio managements. It is well known that an index fund consisting of stocks of listed companies on a stock market is very useful for hedge trading if the total return rate of a fund follows a similar path to the rate of change of a market index. In this paper, we propose a method that...
Discovering knowledge from huge databases with missing values is a challenging problem in Data Mining. In this paper, a novel hybrid algorithm for learning knowledge represented in Bayesian Networks is discussed. The new algorithm combines an evolutionary algorithm with the Expectation-Maximization (EM) algorithm to overcome the problem of getting stuck in sub-optimal solutions which occurs in most...
Summary This paper discusses the ability of local currencies (LCs) to exchange goods and/or services by introducing a method to analyze the reciprocity of communities based on fuzzy network analysis. LCs are expected to revitalize social communities that face difficulties due to the attenuation of human relations. Therefore, such currencies have drastically spread all over the world to resolve these...
Summary Today our society tends to become more and more dependent on large scale (global) infrastructure networks. In many cases, attacks on a few important nodes of such systems lead to irreparable local or, worse, global damages. Thus, designing resilient networks rather than reducing the effects of some unexpected attacks becomes a must. As the most resilient network, regarding any kind of attacks,...
Networks are so much a part of our modern society that when they fail the effects can be significant. In many cases, global network failures can be triggered by seemingly minor local events. Increased understanding of why this occurs and, importantly, the properties of the network that allow it to occur, is thus desirable. In this account we use an evolutionary algorithm to evolve complex networks...
Summary High-bandwidth traffic aggregates may occur during times of flooding-based distributed denial-of-service (DDoS) attacks which are also known as flash crowds problems. Congestion control of these traffic aggregates is important to avoid congestion collapse of network services. We perform fundamental researches to minimize the effect using existing congestion controls. We simulate DDoS attacks...
With the growth of the Internet, Internet service providers try to meet the increasing traffic demand with new technology and improved utilization of existing resources. Routing of data packets is the most important way to improve network utilization. Open Shortest Path First (OSPF) is the first widely deployed routing protocol that could converge a network in the low seconds, and guarantee loop-free...
Network design is one of the most important and most frequently encountered classes of optimization problems. It is a combinatory field in combinatorial optimization and graph theory. When considering a bicriteria network design (bND) problem with the two conflicting objectives of minimizing cost and maximizing flow, network design problems where even one flow measure be maximized, are often NP-hard...
The use of hybrid genetic algorithm (Hybrid GA) in the networks design has been growing the last decades due to the fact that many practical networks design problems are NP hard. This paper examines recent developments in the field of evolutionary optimization for network design. We combine the various hybrid genetic algorithms to a wide range of practical network problems such as a logistics network...
Network design is one of the most important and most frequently encountered classes of optimization problems. However, various network optimization problems typically cannot be solved by a generalized approach. Usually we must design the different algorithm for the different type of network optimization problem depending on the characteristics of the problem. In this paper, we try to investigate with...
The word “serendipity,” introduced to scientific fields by R. K. Merton makes discoveries by accidents and sagacity and has long life since the eighteenth century. Its power was experimentally studied for education in scientific observations by R. S. Lenox. In this paper, in a simple model we analyzed the power of serendipity with two important factors: accident and sagacity. A method to improve its...
Introduction Diabetes is a chronic disease that affects the body’s capacity to regulate the amount of sugar in the blood. One in twenty Australians are affected by diabetes, but this figure is conservative, due to the presence of subclinical diabetes, where the disease is undiagnosed, yet is already damaging the body without manifesting substantial symptoms. This incidence rate is not confined to...
Flexible job shop scheduling problem (fJSP) is an extension of the traditional job shop scheduling problem (JSP), which provides a closer approximation to real scheduling problems. In this paper, a multistage-based genetic algorithm with bottleneck shifting is developed for the fJSP problem. The genetic algorithm uses two vectors to represent each solution candidate of the fJSP problem. Phenotype-based...
In this paper, we propose to parallelize a Hybrid Genetic Algorithm (HGA) on Graphics Processing Units (GPUs) which are available and installed on ubiquitous personal computers. HGA extends the classical genetic algorithm by incorporating the Cauchy mutation operator from evolutionary programming. In our parallel HGA, all steps except the random number generation procedure are performed in GPU and...
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