Search
Search Results
-
A Hybrid Particle Swarm Optimization-Genetic Algorithm for Multiobjective Reservoir Ecological Dispatching
Reservoir ecological dispatching is a complex system problem involving multiple objectives, multiple criteria and multiple phases. This study...
-
Development of hybrid optimization algorithm for structures furnished with seismic damper devices using the particle swarm optimization method and gravitational search algorithm
Previous studies about optimizing earthquake structural energy dissipation systems indicated that most existing techniques employ merely one or a few...
-
Binary well placement optimization using a decomposition-based multi-objective evolutionary algorithm with diversity preservation
In binary multi-objective well placement optimization, multiple conflicting objective functions must be optimized simultaneously in reservoir...
-
Surrogate-assisted distributed swarm optimisation for computationally expensive geoscientific models
Evolutionary algorithms provide gradient-free optimisation which is beneficial for models that have difficulty in obtaining gradients; for instance,...
-
A multiobjective evolutionary optimization method based critical rainfall thresholds for debris flows initiation
At present, most researches on the critical rainfall threshold of debris flow initiation use a linear model obtained through regression. With...
-
A Parallel Multi-objective Optimization Algorithm Based on Coarse-to-Fine Decomposition for Real-time Large-scale Reservoir Flood Control Operation
Reservoir flood control operation (RFCO) is a multi-objective optimization problem with a long sequence of correlated decision variables. It brings...
-
Intelligent Scheduling of Urban Drainage Systems: Effective Local Adaptation Strategies for Increased Climate Variability
Intelligent scheduling of urban drainage systems is generally regarded as a potentially sustainable strategy for urban flood management. To...
-
Convolutional – recurrent neural network proxy for robust optimization and closed-loop reservoir management
Production optimization under geological uncertainty is computationally expensive, as a large number of well control schedules must be evaluated over...
-
Optimization Algorithms and Classical Training Algorithms
This chapter explains the application of different optimization algorithms and training algorithms for training artificial neural network models...
-
Determining optimal controls placed on injection/production wells during waterflooding in heterogeneous oil reservoirs using artificial neural network models and multi-objective genetic algorithm
The objective of this study is to propose a computationally inexpensive and effective approach that addresses the challenges faced with...
-
Minimizing environmental impacts of apple production by linking yield prediction model and water–energy resources’ optimization
This research work links the yield prediction model and water–energy resources’ optimization to mitigate ecological impacts of apple production....
-
Comparison of the Performance of a Surrogate Based Gaussian Process, NSGA2 and PSO Multi-objective Optimization of the Operation and Fuzzy Structural Reliability of Water Distribution System: Case Study for the City of Asmara, Eritrea
Optimal scheduling of pumps in water distribution systems (WDSs) entails reducing operational cost while supplying the required water quality and...
-
An intelligent multi-fidelity surrogate-assisted multi-objective reservoir production optimization method based on transfer stacking
Recently, many researchers have focused on reservoir production optimization because it is one of the most essential processes in closed-loop...
-
A Systematic Review of Optimization of Dams Reservoir Operation Using the Meta-heuristic Algorithms
During the last two decades, the issue of optimal operation of dam reservoirs has received much attention among water resources management...
-
A Model Coupling Water Resource Allocation and Canal Optimization for Water Distribution
During a certain water distribution process in irrigated areas, the water resource allocation model can generate the distribution scheme of different...
-
Design of optimal operational parameters for steam-alternating-solvent processes in heterogeneous reservoirs – A multi-objective optimization approach
Steam injection is a widely-used process for heavy oil and bitumen recovery. However, a significant drawback is the excessive energy requirement,...
-
Fuzzy Stress-based Modeling for Probabilistic Irrigation Planning Using Copula-NSPSO
Hydrological uncertainties are the main components of a sustainable framework in agricultural water management. Prediction of drought as a...
-
Multi-objective optimization of subsurface \(\text {CO}_{2}\) capture, utilization, and storage using sequential quadratic programming with stochastic gradients
Carbon capture, utilization, and storage (CCUS) is a crucial part of the energy industry nowadays, aiming to reduce the overall carbon emission into...
-
Optimal Operational Scheduling of Pumps to Improve the Performance of Water Distribution Networks
Widely used software packages might still be deficient when it comes to optimal pump scheduling as they allow concurrent Variable Speed Pumps (VSPs)...
-
Optimizing reservoir operation to avoid downstream physical habitat loss using coupled ANFIS- metaheuristic model
The present study proposes a novel optimization framework of the reservoir operation in terms of optimizing storage benefits while alleviating...
