期刊： MEMETIC COMPUTING, 2021; 13 (3)
Multi-objective optimization problem (MOP) denotes the optimization problem involving more than one objective function to be optimized simultaneously.......
期刊： MEMETIC COMPUTING, 2021; 13 (2)
Multi-objective project scheduling has attracted wide attention for approximately two decades. However, most of the existing research has focused on t......
期刊： MEMETIC COMPUTING, 2021; 13 (2)
The successful application of multi-objective evolutionary algorithms (MOEAs) in many kinds of multiobjective problems have attracted considerable att......
期刊： MEMETIC COMPUTING, 2021; 13 (2)
Bilevel optimization has been recognized as one of the most difficult and challenging tasks to deal with because a solution to the upper level problem......
期刊： MEMETIC COMPUTING, 2021; 13 (2)
With the number of on-orbit earth observation satellites (EOSs) increases, satellite image data downlink scheduling problem is becoming the bottleneck......
期刊： MEMETIC COMPUTING, 2021; 13 (3)
Core-periphery structure detection (CPSD) in complex networks is essential to reveal functional nodes in the complicated systems, e.g., influential no......
期刊： MEMETIC COMPUTING, 2021; 13 (2)
To improve the operational efficiency and competitive advantage of supply chains, integrated production and distribution has attracted an increasing a......
期刊： MEMETIC COMPUTING, 2021; 13 (2)
Navigation correction is usually frequently required by unmanned aerial vehicles (UAVs), especially under uncertain navigation environments. Although ......
期刊： MEMETIC COMPUTING, 2021; 13 (3)
The aim of evolutionary multi/many-objective optimization is to obtain a set of Pareto-optimal solutions with good trade-off among the multiple confli......
期刊： MEMETIC COMPUTING, 2021; 13 (3)
Various niching methods have been widely adopted for solving multimodal optimization. However, keeping a balance between exploitation and exploration ......
期刊： MEMETIC COMPUTING, 2021; 13 (3)
The prediction-based evolutionary algorithms are a recently developed branch of metaheuristic algorithms. The most notable feature of this kind of alg......
This paper addresses an open vehicle routing problem with predetermined time windows under uncertain travel times (OVRP-UT). A novel light-robust-opti......
期刊： MEMETIC COMPUTING, 2021; 13 (1)
Two-sided assembly lines are widely utilized to assemble large-sized products such as cars and trucks. Recently, these types of assembly lines have be......
期刊： MEMETIC COMPUTING, 2021; 13 (1)
Many real-world combinatorial optimization problems have both expensive objective and constraint functions. Although surrogate models for the discrete......
