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Keyphrases
Benchmark Problems
11%
Bi-objective
10%
Brazil
12%
Cross-entropy
10%
Demand Responsive Transport
23%
Differential Evolutionary Particle Swarm Optimization
28%
Dimensionality Reduction
13%
Dispatching Problem
12%
Electric
18%
Equality Constraints
23%
Evolutionary
15%
Evolutionary Algorithms
27%
Evolutionary Approach
31%
Evolutionary multi-objective Algorithm
12%
Evolutionary Particle Swarm Optimization Algorithm
13%
Function Evaluation
15%
Genetic Algorithm
71%
Hidden Markov Model
10%
Hybrid Microgrid
13%
Hydropower Plant
16%
Local Search
33%
Local Search Operator
36%
Many-objective
21%
Many-objective Evolutionary Algorithm (MaOEA)
29%
Many-objective Optimization
10%
Memetic Algorithm
13%
Menu Planning Problem
13%
Mono-objective
16%
Multi-objective Approach
34%
Multi-objective Evolutionary
25%
Multi-objective Genetic Algorithm
14%
Multi-objective Optimization
24%
New Operator
10%
Non-dominated Sorting Genetic Algorithm (NSGA-II)
27%
Optimal Power Flow Problem
15%
Optimization Approach
15%
Optimization Problem
25%
Pareto
15%
Pareto Set
13%
Power Plant
13%
Proposed Methodology
17%
Quadratic Approximation
41%
Roadside Unit
21%
Security-constrained Optimal Power Flow (SCOPF)
13%
Solution Set
21%
Speech Recognition
10%
Strength Pareto Evolutionary Algorithm 2 (SPEA2)
21%
Vehicle Routing Problem
21%
Vehicular Ad Hoc Networks
13%
Wireless Sensor Networks
24%
Computer Science
Approximation (Algorithm)
39%
Benchmark Problem
12%
Case Study
16%
Clustering Algorithm
9%
Component Analysis
7%
Computational Cost
11%
Computational Experiment
8%
Constraint Problem
8%
Continuous Optimization
7%
Dimensionality Reduction
13%
Equality Constraint
18%
Evolutionary Algorithm
40%
Evolutionary Approach
21%
Experimental Result
10%
Feedback Control
8%
Function Evaluation
26%
Genetic Algorithm
57%
Hybrid Algorithm
7%
Integer-Linear Programming
7%
linear matrix
8%
Local Search Phase
7%
Many-Objective Optimization
18%
Memetic Algorithm
8%
Metaheuristics
13%
Mixed Integer Programming
17%
multi-objective evolutionary algorithm
35%
Multi-Objective Optimization
13%
Multiobjective
100%
Non-Dominated Sorting Genetic Algorithm II
10%
Objective Function
36%
Objective Optimization
7%
Objective Space
9%
optimal power
20%
Optimization Algorithm
8%
Optimization Problem
54%
Particle Swarm Optimization
28%
particle swarm optimization algorithm
14%
PSO algorithm
8%
Quality Indicator
16%
Real-World Problem
10%
Rule Base
8%
Search Space
9%
Simplex Algorithm
8%
Simulated Annealing
8%
Smart Grid
8%
Variable Neighborhood Search
8%
Vehicle Routing
24%
Vehicular Ad Hoc Network
8%
Vehicular Network
13%
Wireless Sensor Network
26%
Engineering
Artificial Neural Network
10%
Brazil
11%
Classification Accuracy
10%
Computational Cost
6%
Deep Learning Method
8%
Dimensionality
13%
Electric Power Plant
25%
Energy Storage
6%
Energy Storage System
8%
Equality Constraint
10%
Experimental Result
7%
Feedback Control
8%
Flow Problem
16%
Function Evaluation
20%
Generation Unit
9%
Genetic Algorithm
52%
Global Scale
6%
Grid System
12%
High Resolution
8%
Hybrid Approach
7%
Hydro Power
9%
Linear matrix inequalities
7%
Local Search
28%
Mathematical Model
7%
Mathematical Modeling
7%
Microgrid
20%
Multiobjective Approach
23%
Multiobjective Genetic Algorithm
8%
Multiobjective Optimization
9%
Multiobjective Problem
10%
Nelder-Mead Simplex Algorithm
8%
Nodes
8%
Non-Dominated Sorting Genetic Algorithm II
13%
Objective Function
26%
Objective Space
6%
Optimal Dispatch
10%
Optimal Power Flow
20%
Optimisation Problem
41%
Optimization Approach
7%
Optimization Method
13%
Pareto Set
7%
Particle Swarm Optimization
32%
Reactive Power
8%
Renewables
8%
Roadsides
8%
Routing Problem
21%
Smart Grid
8%
Step Size α
8%
United Kingdom
10%
Wireless Sensor Network
21%
