This paper considers the problem of scheduling a given number of jobs on a specified number of identical parallel robots with unequal release dates and precedence constraints in order to minimize mean tardiness. This problem is strongly NP‐hard. The author proposes a hybrid intelligent solution system, which uses Genetic Algorithms and Simulated Annealing (GA+SA). A genetic ...

With ever increasing complexity of products and customer demands, companies are adopting new strategies to meet the changing technological requirements, shorter product life cycles, and globalization of manufacturing operations. Product design and development are getting more sophisticated procedures/processes involved and require designers and engineers possessing different expertise, knowledg...

There are many ad hoc feature and algorithm selection techniques, but there also are more methodical approaches. From a theoretical perspective, it can be shown that optimal feature and algorithm selection require an exhaustive search of all possible subsets of features/algorithms. If a large number of features/algorithms are available, this is impractical. In machine learning, the search is of...

In this paper, a hybrid meta-heuristic algorithm, based on imperialistic competition algorithm (ICA), harmony search (HS), and simulated annealing (SA) is presented. The body of the proposed hybrid algorithm is based on ICA. The proposed hybrid algorithm inherits the advantages of the process of harmony creation in HS algorithm to improve the exploitation phase of the ICA algorithm. In addition...

in this paper, an intelligent control strategy based on combination of the “flatness based control technique” and the “perturbation and observation (p&o;) mppt algorithm” is developed and investigated to control a hybrid electric energy source (heps). this ehps is composed of a fuel cell system (fc) and a solar panel (sp), as the main source and a supercapacitor bank (sc), as the auxiliary sour...

in this paper, we present the stochastic version of maximal covering location problem which optimizes both location and allocation decisions, concurrently. it’s assumed that traveling time between customers and distribution centers (dcs) is uncertain and described by normal distribution function and if this time is less than coverage time, the customer can be allocated to dc. in classical model...

The quantum evolutionary algorithm is based on the quantum superposition state and the quantum computing. Compared to the traditional evolutionary algorithm, QEA has great global search ability; however, its complexity limits the operational ability and the efficiency, at the same time, its local search ability is relatively poor. In this paper, the author presents an improved hybrid intelligen...

in this paper by combining caching and replication techniques proposed a hybrid heuristic method based on the greedy algorithm to use the benefit of each other techniques. the algorithm in each interaction compares all the contents and one that made the best benefit value is selected for replication. the hybrid approach tested in a simulation environment and the results show that hybrid algorit...

today, stock investment has become an important mean of national finance. apparently, it is significant for investors to estimate the stock price and select the trading chance accurately in advance, which will bring high return to stockholders. in the past, long-term trading processes and many technical analysis methods for stock market were put forward. however, stock market is a nonlinear sys...