Research on Power System Joint Optimal Generation Scheduling Based on Improved Balance Optimizer

Buildings-to-distribution-network integration considering power transformer loading capability and distribution network reconfiguration

(2022) Yin Zhang et al.   ENERGY

Optimizing entanglement generation and distribution using genetic algorithms

(2021) Francisco Ferreira da Silva et al.   Quantum Science and Technology

Optimizing generation expansion planning with operational uncertainty: A multistage adaptive robust approach

(2021) Adam F. Abdin et al.   APPLIED ENERGY

Short-Term Nacelle Orientation Forecasting Using Bilinear Transformation and ICEEMDAN Framework

(2021) Huajin Li et al.   Frontiers in Energy Research

Monitoring and Identifying Wind Turbine Generator Bearing Faults Using Deep Belief Network and EWMA Control Charts

(2021) Huajin Li et al.   Frontiers in Energy Research

Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection

(2020) Jiao Hu et al.   KNOWLEDGE-BASED SYSTEMS

Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis

(2020) Weifeng Shan et al.   KNOWLEDGE-BASED SYSTEMS

Policy Iteration Approach to the Infinite Horizon Average Optimal Control of Probabilistic Boolean Networks

(2020) Yuhu Wu et al.   IEEE Transactions on Neural Networks and Learning Systems

A cost‐optimized power management strategy for combined wind thermal–pumped hydro generation considering wind power uncertainty

(2019) Bidishna Bhattacharya et al.   International Transactions on Electrical Energy Systems

Mayer-Type Optimal Control of Probabilistic Boolean Control Network With Uncertain Selection Probabilities

(2019) Mitsuru Toyoda et al.   IEEE Transactions on Cybernetics

An MILP framework for optimizing demand response operation of air separation units

(2018) Morgan T. Kelley et al.   APPLIED ENERGY

An exploration-enhanced grey wolf optimizer to solve high-dimensional numerical optimization

(2018) Wen Long et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Optimizing tasks generation for children in the early stages of literacy teaching: a study using bio-inspired metaheuristics

(2018) Gilberto Nerino de Souza et al.   SOFT COMPUTING

A methodological framework for cloud resource provisioning and scheduling of data parallel applications under uncertainty

(2018) Maria Carla Calzarossa et al.   Future Generation Computer Systems-The International Journal of eScience

Objective-driven and Pareto Front analysis: Optimizing time, cost, and job-site movements

(2016) Vahid Faghihi et al.   AUTOMATION IN CONSTRUCTION

Scheduling online mixed-parallel workflows of rigid tasks in heterogeneous multi-cluster environments

(2016) Yi-Rong Wang et al.   Future Generation Computer Systems-The International Journal of eScience