At present,the vehicles in the steel enterprises of China mainly use the traditional one-to-one transportation of the *** mode,which has low transportation efficiency,high transportation cost and long time to stop at ...
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At present,the vehicles in the steel enterprises of China mainly use the traditional one-to-one transportation of the *** mode,which has low transportation efficiency,high transportation cost and long time to stop at the task node,affects the production *** solve this,it is proposed to adopt the "trailer-semi-trailer" cycle-to-carry transport mode in the factory,and establishes an integer programming model with the least number of tractors and total logistics cost,and then use the improved Glowworm Swarm Optimization algorithm to solve the *** adaptive strategy improvement algorithm makes it increase its own search ability,and at the same time introduces the immune mechanism of immune algorithm,enhances the ability of the algorithm to jump out of local optimum,and finally tests through *** results show that the improved algorithm can quickly find a better scheduling scheme,thus guiding the enterprise to carry out the in-plant transportation reasonably and efficiently.
Introduction: In large-scale events such as concerts and sports competitions, participants often leave the venue at the same time to return to their respective destinations. Improper traffic planning and traffic light...
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Introduction: In large-scale events such as concerts and sports competitions, participants often leave the venue at the same time to return to their respective destinations. Improper traffic planning and traffic light operation usually lead to traffic congestion and road chaos near the sites. Rapid evacuation of participants has become an important issue. Objectives: In this work, a one-way road orientation planning problem with multiple venues is studied in which all roads near the venues are to be scheduled into a one-way orientation with strong connectivity to increase the evacuation efficiency of participants. Methods: In accordance with Robbins' theorem and a random sequence of integers, an encoding scheme based on module operator is presented to construct a strongly connected graph and plan a one-way orientation for all roads. The proposed encoding scheme is further embedded into four artificial intelligence approaches, namely, grey wolf optimization, immune algorithm, genetic algorithm, and particle swarm optimization, to solve the one-way road orientation planning problem such that the total distance of all vehicles from venues to their destinations is minimized. Results: Numerical results of test problems with multiple venues in Taiwan are provided and analyzed. As shown, all four algorithms can obtain the best solution for the test problems. Conclusions: The new presented encoding scheme with four algorithms can be used to effectively solve the one-way road orientation planning problem for the evacuation of participants. Moreover, grey wolf optimization is superior to the other three algorithms and particle swarm optimization is faster than the other three algorithms.
This paper proposes a method for optimization of the harmonic performance of three-Phase inverter under Space Vector Modulation(SVM) control. It is shown that SVM provides a number of degrees of freedom, which make it...
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This paper proposes a method for optimization of the harmonic performance of three-Phase inverter under Space Vector Modulation(SVM) control. It is shown that SVM provides a number of degrees of freedom, which make it suitable for optimization, subject to desired constraints. An immune algorithm(IA) optimizer is used to solve the optimization problem. Simulation results are shown to result in significant reduction of dominant harmonics compared with the traditional control strategies.
Adaptive immune evolutionary algorithm is proposed based on the principle of adaptive immune response. Two new algorithm parameters of expansion radius and mutation radius are defined to construct a small neighborhood...
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Adaptive immune evolutionary algorithm is proposed based on the principle of adaptive immune response. Two new algorithm parameters of expansion radius and mutation radius are defined to construct a small neighborhood and a large neighborhood, then expansion and mutation operations are designed to search the local and global regions of solution space simultaneously by using the two neighborhoods, thus, two-level neighborhood search mechanism is realized. The degree of the diversity in the population is described with the average Euclideandistance among all individuals, and it is used to adjust algorithm parameters adaptively to accelerate convergence and avoid getting stuck at local optima. The algorithm is proved to be convergent and its optimization principle is analyzed. The experiment results of multi-modal function optimization show that the algorithm is effective.
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