Titlebook: Intelligent Computing Theories and Application; 18th International C De-Shuang Huang,Kang-Hyun Jo,Abir Hussain Conference proceedings 2022

Spinal-Tap

EXTOL

An Efficient Multi-objective Evolutionary Algorithm for a Practical Dynamic Pickup and Delivery Probn-first-out loading. This method decomposes the problem under consideration into many subproblems. The experimental results on 40 real-world logistics problem instances, offered by Huawei in the competition at ICAPS 2021, validate the high efficiency and effectiveness of our proposed method.

步履蹣跚

Junchuang Cai,Qingling Zhu,Qiuzhen Lin,Jianqiang Li,Jianyong Chen,Zhong Ming

紀(jì)念

Xiaoqiang Wu,Qingling Zhu,Qiuzhen Lin,Jianqiang Li,Jianyong Chen,Zhong Ming

Incorporate

antedate

C. M. Castorena,R. Alejo,E. Rendón,E. E. Granda-Gutíerrez,R. M. Valdovinos,G. Miranda-Pi?a

glans-penis

Multi-party Evolution Stability Analysis of Electric Vehicles- Microgrid Interaction Mechanism also have the convergence speed of the game process less affected by the initial value, which can significantly reduce the game cost of all parties. Combining system dynamics and evolutionary game theory to study the interaction process of EV-MG provides an effective solution for microgrid to formu

manifestation

A Mixed-Factor Evolutionary Algorithm for Multi-objective Knapsack Problemts converge towards the true Pareto front. The algorithm proposed is operated on multi-objective knapsack problem. The effectiveness of MFEA is compared with five state-of-the-art algorithms, i.e., NSGA-II, NSGA-III, MOEA/D, SPEA2 and GrEA, in terms of five performance metrics. Simulation results de

Small-Intestine

密碼

A Multi-strategy Improved Fireworks Optimization Algorithmvation is adopted, improving the global and local searching ability of the algorithm. Combining various strategies improves the global and local searching ability of the algorithm, and accelerates the convergence speed. Finally, 8 benchmark test functions and optimization problems of Design of Reduc