Mathematical programming and meta-heuristics are two types of optimization methods. Meta-
heuristic algorithms can identify optimal/near-optimal solutions by mimicking natural …

Wind energy has strong volatility and intermittent. Accurate wind speed prediction can not
only improve the safety of the system, but also optimize dispatch and reduce economic …

Seagull optimization algorithm (SOA) is a recent bio-inspired technique utilized to improve
the constrained large-scale problems in low computational cost and quick convergence …

The traveling salesman problem (TSP) is one of the most intensively studied problems in
computational mathematics. This paper proposes a swarm intelligence approach using a …

ABSTRACT A hierarchical energy optimization management model is established and a
multi-microgrid operation strategy that mixes the battery and the power interaction designed …

In this paper, a bioinspired path planning approach for mobile robots is proposed. The
approach is based on the sparrow search algorithm, which is an intelligent optimization …

As a recent swarm intelligence optimization algorithm, sparrow search algorithm (SSA) is
widely adopted in many real-world problems. However, the solutions to the limitations of …

Flame image recognition is of great significance in the fire detection and prevention. In this
paper, in order to improve the accuracy of fire recognition, a fast stochastic configuration …

Sparrow search algorithm (SSA) is easy to fall into local convergence and convergence
stagnation. In order to solve these problems, this paper introduced Circle chaos map into the …

针对变压器故障诊断精度低的问题, 提出了一种多策略改进麻雀算法(MISSA)
与双向长短时记忆网络(BiLSTM) 的变压器故障诊断模型. 基于油中溶解气体分析(DGA) 技术 …