نتایج جستجو برای: npga

تعداد نتایج: 31  

2013
Peter Rugbjerg Michael Naesby Uffe H Mortensen Rasmus JN Frandsen

BACKGROUND Fungal polyketides include commercially important pharmaceuticals and food additives, e.g. the cholesterol-lowering statins and the red and orange monascus pigments. Presently, production relies on isolation of the compounds from the natural producers, and systems for heterologous production in easily fermentable and genetically engineerable organisms, such as Saccharomyces cerevisia...

Journal: :CoRR 2014
Santosh Mungle

It is a known fact that the performance of optimization algorithms for NP-Hard problems vary from instance to instance. We observed the same trend when we comprehensively studied multiobjective evolutionary algorithms (MOEAs) on a six benchmark instances of discrete time-cost trade-off problem (DTCTP) in a construction project. In this paper, instead of using a single algorithm to solve DTCTP, ...

Journal: :International Journal of Grid and Distributed Computing 2016

2010
Siew Chin Neoh Norhashimah Morad Chee Peng Lim Zalina Abdul Aziz

This paper presents a layered encoding cascade evolutionary approach to solve a 0/1 knapsack optimization problem. A layered encoding structure is proposed and developed based on the schema theorem and the concepts of cascade correlation and multi-population evolutionary algorithms. Genetic algorithm (GA) and particle swarm optimization (PSO) are combined with the proposed layered encoding stru...

2003
Efrén Mezura-Montes Carlos A. Coello Coello

AbstractIn this paper, we propose the use of a Simple Evolution Strategy (SES) (i.e., a -ES with self-adaptation that uses three tournament rules based on feasibility) coupled with a diversity mechanism to solve constrained optimization problems. The proposed mechanism is based on multiobjective optimization concepts taken from an approach called the Niched-Pareto Genetic Algorithm (NPGA). The ...

2008
Chenguang Yang Jie Chen Xuyan Tu Hussein A. Abbass Omid Bozorg Haddad Hyeong Soo Chang

Marriage in Honey Bees Optimization (MBO) is a new swarm-intelligence method, but existing researches concentrate more on its application in single-objective optimization. In this paper, we focus on improving the algorithm to solve the multi-objective problem and increasing its convergence speed. The proposed algorithm is named as multi-objective Particle Swarm Marriage in Honey Bees Optimizati...

Journal: :Proceedings of the National Academy of Sciences of the United States of America 1966
K Tanaka M A Budd M L Efron K J Isselbacher

At present, leucine-induced hypoglycemia and maple-syrup urine disease are the only inborn errors of leucine metabolism recognized in man. In the former disorder, recurrent hypoglycemia is the result of leucine-induced hyperinsulinism.1 In maple-syrup urine disease there is a block in the oxidative decarboxylation of leucine, isoleucine, and valine resulting in the accumulation of the amino aci...

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