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Nature-Inspired Metaheuristic Search Algorithms for Optimizing Benchmark Problems: Inclined Planes System Optimization to State-of-the-Art Methods
Distribution network reconfiguration for minimizing impact of wind power curtailment on the network losses: A two?stage stochastic optimization algorithm
Distribution network reconfiguration for minimizing impact of wind power curtailment on the network losses: A two?stage stochastic optimization algorithm
Two meta-heuristic algorithms for optimizing a multi-objective supply chain scheduling problem in an identical parallel machines environment
A novel optimization approach for axial turbine blade cascade via combination of a continuous-curvature parameterization method and genetic algorithm
A novel optimization approach for axial turbine blade cascade via combination of a continuous-curvature parameterization method and genetic algorithm
Polynomial-time algorithms to solve the single-item capacitated lot sizing problem with a 1-breakpoint all-units quantity discount
Polynomial-time algorithms to solve the single-item capacitated lot sizing problem with a 1-breakpoint all-units quantity discount
Evaluating resampled and fused Sentinel-2 data and machine-learning algorithms for mangrove mapping in the northern coast of Qeshm island, Iran
Evaluating resampled and fused Sentinel-2 data and machine-learning algorithms for mangrove mapping in the northern coast of Qeshm island, Iran
Development of a Match Factor and Comparison of Its Applicability with Ant-Colony Algorithm in a Heterogeneous Transportation Fleet in an Open-Pit Mine
Application of Multiple Linear Regression and Artificial Neural Network Algorithms to Predict the Total Hand Value of Summer Knitted T-shirts
Application of Multiple Linear Regression and Artificial Neural Network Algorithms to Predict the Total Hand Value of Summer Knitted T-shirts
A polynomial time branch and bound algorithm for the single item economic lot sizing problem with all units discount and resale
Modeling the oxidative coupling of methane using artificial neural network and optimizing of its operational conditions using genetic algorithm