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Zitong Wang, Yan Pei and Jianqiang Li
The multi-objective optimization problem is difficult to solve with conventional optimization methods and algorithms because there are conflicts among several optimization objectives and functions. Through the efforts of researchers and experts from diff...
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Hanqing He, Peng Shi and Yushan Zhao
The pursuit of excellent performance in meta-heuristic algorithms has led to a myriad of extensive and profound research and achievements. Notably, many space mission planning problems are solved with the help of meta-heuristic algorithms, and relevant s...
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Marvin Kastner, Nicole Nellen, Anne Schwientek and Carlos Jahn
At container terminals, many cargo handling processes are interconnected and occur in parallel. Within short time windows, many operational decisions need to be made and should consider both time efficiency and equipment utilization. During operation, ma...
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José M. Villegas, Camilo Caraveo, David A. Mejía, José L. Rodríguez, Yuridia Vega, Leticia Cervantes and Alejandro Medina-Santiago
The optimization is essential in the engineering area and, in conjunction with use of meta-heuristics, has had a great impact in recent years; this is because of its great precision in search of optimal parameters for the solution of problems. In this wo...
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Carlos Camacho-Gomez, Rocio Sanchez-Montero, Diego Martínez-Villanueva, Pablo-Luís López-Espí and Sancho Salcedo-Sanz
A novel textile U-shaped with concentric annular slot antenna prototype for LTE and 5G services has been described. In the ground plane, a meander slot has been introduced to reduce the antenna dimensions. A new multi-method metaheuristic algorithm, the ...
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Thi Thuy Ngo, Do Guen Yoo, Yong Sik Lee, Joong Hoon Kim
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A detention reservoir is one of the most effective engineered solutions for flood damage mitigation in urban areas. Detention facilities are constructed to temporarily store storm water and then slowly drain when the peak period has passed. This delayed ...
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Atif Shahzad and Nasser Mebarki
A promising approach for an effective shop scheduling that synergizes the benefits of the combinatorial optimization, supervised learning and discrete-event simulation is presented. Though dispatching rules are in widely used by shop scheduling practitio...
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