Optimal Load Scheduling of Plug-In Hybrid Electric Vehicles via Weight-Aggregation Multi-Objective Evolutionary Algorithms

Keyphrases

• Many-objective Evolutionary Algorithm (MaOEA) 100%
• Weighted Aggregation 100%
• Plug-in Hybrid Electric Vehicle 100%
• Optimal Load Scheduling 100%
• Multi-objective Particle Swarm Optimization (MOPSO) 60%
• Scheduling Problem 40%
• Pareto Front 40%
• Load Scheduling 40%
• Power Grid 20%
• High Dimension 20%
• Small Area 20%
• Multiple Objective Optimization 20%
• Global Warming Effect 20%
• Non-dominated Sorting Genetic Algorithm (NSGA-II) 20%
• Electric Vehicle Charging 20%
• Single-objective 20%
• Aggregation Strategy 20%
• Competing Objectives 20%
• Environmentalists 20%
• Peak-to-valley 20%
• Peak Load 20%
• Economic Loss 20%
• Differential Evolutionary Algorithm 20%

Engineering

• Plug-in Hybrid Electric Vehicle 100%
• Optimal Load Scheduling 100%
• Particle Swarm Optimization 75%
• Pareto Front 50%
• Power Grid 25%
• Global Warming 25%
• Objective Optimization 25%
• Genetic Algorithm 25%
• Peak Load 25%
• Economic Loss 25%
• Special Conditions 25%
• Environmentalist 25%

Computer Science

• Multiobjective 100%
• multi-objective evolutionary algorithm 100%
• Particle Swarm Optimization 60%
• Scheduling Problem 40%
• Genetic Algorithm 20%
• Objective Optimization 20%
• Single Objective 20%
• Global Warming 20%
• Evolutionary Algorithms 20%