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    Evolutionary multi-objective optimization (EMOO) finds a set of Pareto solutions rather than any single aggregated optimal solution for a multi-objective problem. The purpose of this paper is to describe a newly developed evolutionary approach-Pareto-based multi-objective differential evolution (MODE). In this paper, the concept of differential(More)
Alcohol consumption is associated with an increase in the incidence of cancers of several sites, including oesophagus, larynx and mouth. The mechanism of the induction of cancer by alcohol is not clear. Humans are exposed to a variety of carcinogenic N-nitroso compounds. Ethanol changes the pharmacokinetics of nitrosamines in rats particularly by decreasing(More)
32P-Labelled self-complementary oligonucleotides containing O6-methylguanine, O6-ethylguanine, and O4-methylthymine have been synthesized and used as substrates for the DNA repair protein O6-alkylguanine-DNA alkyltransferase (AAT). The reaction was second-order with rate constants of 2.6 X 10(7) M-1 sec-1 for O6-methylguanine, 2.6 X 10(4) M-1 sec-1 for(More)
—Existing modeling frameworks for manufacturing system control can be classified into hierarchical, heterarchical, and hybrid control frameworks. The main drawbacks of existing frameworks are discussed in this paper. A new hybrid modeling framework is also described. It is a hybrid of the two: hierarchical and heterarchical frameworks. are modeled as(More)
In recent years, the hybrid control framework has received much attention from the research community. Several variations of this control framework are available. In this paper, an actual industrial warehouse order picking problem where goods are stored at multiple locations and the pick location of goods can be selected dynamically in near real time, is(More)
In recent years, multi-objective evolutionary algorithms (MOEA) have generated a large research interest. MOEA's attraction stems from their ability to find a set of Pareto solutions rather than any single, aggregated optimal solution for a multi-objective problem. As for single-objective evolutionary algorithms (SOEA), multi-objective evolutionary(More)
—The development of theoretical-based methods for the assessment of multi-agent systems properties is of critical importance. This work investigates methodologies for modeling, analysis and design of multi-agent systems. Multi-agent systems are regarded as discrete-event dynamic systems and Petri nets are used as a modeling tool to assess the structural(More)
Self-complementary oligodeoxynucleotides have been synthesized containing O6-methylguanine (O6meG), O6-ethylguanine (O6etG), O6-isopropylguanine (O6iprG) and O4-methylthymine (O4meT). They anneal in solution to give double-stranded DNA. These double helices have been used as substrates for the DNA repair protein O6-alkylguanine-DNA-alkyltransferase coded(More)
— The revival of multi-objective optimization (MOO) is mostly due to the recent development of evolutionary multi-objective optimization that allows the generation of the whole Pareto optimal front. Several evolutionary algorithms have been developed for this purpose. This paper focuses on the recent development of differential evolution (DE) algorithms for(More)