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—Resource-constrained project scheduling problem is the traditional optimization problem considering constraint conditions of resource supply, which makes the problem more difficult to solve in real life. Resource-constrained project scheduling problem is a typical NP-hard problem, which is quite popular issue in recent years. This article firstly analyzes(More)
Due to fierce market competition, how to improve product quality and reduce development cost determines the core competitiveness of enterprises. However, design iteration generally causes increases of product cost and delays of development time as well, so how to identify and model couplings among tasks in product design and development has become an(More)
Artificial bee colony (ABC) algorithm, inspired by the intelligent foraging behavior of honey bees, was proposed by Karaboga. It has been shown to be superior to some conventional intelligent algorithms such as genetic algorithm (GA), artificial colony optimization (ACO), and particle swarm optimization (PSO). However, the ABC still has some limitations.(More)
—Production cost and performance depend on the existing resource configuration and optimization, which play a fundamental role in occupying the dominant position in the aggressive market competition for the manufacturing enterprises. The existing resource configuration and optimization is implemented at workshop level of operation activity, and thus, it is(More)
A Bacillus sp.YCJS strain showing phytase activity was isolated, and the phytase-encoding gene was cloned and expressed in Escherichia coli. The 1,149-bp full-length gene encoded a 26-residue putative signal peptide and a 356-residue mature protein. The molecular weight was estimated to be 47.5 kDa by sodium dodecyl sulfate-polyacrylamide gel(More)
In this paper, the authors focus on swarm intelligence represented by the ant colony system and artificial neural network simulating the brain working principles, and analyse the similarities between them by the approaches of a complexity study. Firstly, the similarities between swarm intelligence and neural network have been analysed qualitatively from(More)