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Traditional time series forecasting models are difficult to capture the nonlinear patterns. Support vector regression (SVR) has been successfully used to solve nonlinear regression and times series problems. However, parameters determination for a SVR model is competent to the forecasting...
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-parallel and bridge systems is investigated. To solve the problem, a hybrid method based on Imperialism competitive algorithm and … genetics algorithm is used. The results of simulations demonstrate the superior performance of the proposed method in …
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decomposition algorithm. Then, we present a hybrid genetic algorithm that uses the Dijkstra algorithm to evaluate solutions. Next …, we present a hybrid variable neighborhood search algorithm that uses the Dijkstra algorithm to calculate the cost of each … solution. Also, a relax-and-fix algorithm is proposed to find near-optimal feasible solutions for the problem. Computational …
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Combinatorial optimization problems are usually NP-hard and the solution space of them is very large. Therefore the set of feasible solutions cannot be evaluated one by one. Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) are metaheuristic techniques...
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practice. In this paper, we are proposing a hierarchical data-driven parallel memetic algorithm to solve the problem. A … algorithm has its own local elite set. Collaboration among parallel memetic algorithms is allowed, and a shared elite set is … created as a result. The main algorithm has multiple restarts, and a global elite set is maintained between those restarts …
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important role in operation research. A variable neighborhood search (VNS) enhance genetic algorithm (VNSeGA) is presented to … minimize makespan of FJSP in this paper. In VNSeGA, genetic algorithm (GA) is used for the global exploration and VNS module …
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