First, a multi-objective sparrow search algorithm is proposed aiming at the multi-objective, multi-constraint, non-linear and high-dimensional ADN integrated optimization problem, and the superiority of the proposed algorithm is verified. Second, the mathematical model of ADN integrated optimization is...
Xu et al. evaluated the resilience of agricultural land–water resource systems using a Projection Pursuit model based on the Sparrow Search Algorithm. The research showed that the model has good performance in terms of solution speed and optimization ability56. When evaluating prefabricated component ...
Multi-objective slime mold algorithm NSGA2: Non-dominated sorting genetic algorithm PF: Pareto front rNSGA2: Reference solution-based NSGA2 SF-DE: Superior feasible solutions differential evolution SMA: Slime mold algorithm SSA: Sparrow search algorithm TiGEA-2: A tri-goal evolution TS...
Reddy VMK, Venkatesh P, Dharmaprakash R, Kumar SS, An integrated economic and emissions dispatch problem using the sparrow search algorithm He L, Lu Z, Pan L, Zhao H, Li X, Zhang J (2019) Optimal economic and emission dispatch of a microgrid with a combined heat and power system. Ene...
Show abstract Ultra short-term wind power forecasting based on sparrow search algorithm optimization deep extreme learning machine 2021, Sustainability (Switzerland) Review on Deep Learning Research and Applications in Wind and Wave Energy 2022, Energies View all citing articles on ScopusView...
For this purpose, a dynamic multi-objective sparrow search algorithm (SSA) with fusion prediction strategy, based on difference model and kernel extreme learning machine (DMOSSA-FPS), is proposed. Given the diversity of change characteristics, a single prediction model is insufficient. Therefore, ...
Epi-SSA draws inspiration from the sparrow search algorithm and optimizes the population based on multiple objective functions in each iteration, in order to be able to more precisely identify epistatic interactions. To evaluate its performance, we conducted a comprehensive ...
In order to solve the problems of low structural strength, high total manufacturing cost and long optimisation time of vehicle body parameters optimisation methods, a multi-objective optimisation method of vehicle body parameters based on improved sparrow search algorithm is proposed. The multi-objective...
Enhancing sparrow search algorithm via multi-strategies for continuous optimization problems 2022, Information Processing and Management Deep reinforcement learning for transportation network combinatorial optimization: A survey 2021, Knowledge-Based Systems ...
A stochastic configuration network based on chaotic sparrow search algorithm 2021, Knowledge-Based Systems Show abstract Short-term prediction of lane-level traffic speeds: A fusion deep learning model 2019, Transportation Research Part C: Emerging Technologies Show abstract A Survey on Evolutionary Neural...