Intelligent Optimization Strategies in Uncertain and Dynamic Environments
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Synthetic Dynamic Problems
Dynamic Onemax Function
Immigrant Schemes for Evolutionary Algorithms in Dynamic Environments: Adapting the Replacement Rate
Dynamism
Dynamism in the Objective Function
Methods
Evolutionary Algorithms
Genetic Algorithms (GA)
Random Inmigrants Genetic Algorithms (RIGA)
Models
Adaptive
Self-Adaptive
Applications
Dynamic Onemax Function
Dynamic Royal Road Function
Synthetic Dynamic Problems
Measures
Offline Performance
[Yu2010]
Immigrant Schemes for Evolutionary Algorithms in Dynamic Environments: Adapting the Replacement Rate
,
Yu, X.
,
Tang K.
, and
Yao X.
, Science in China Series F - Information Sciences, Volume 53, p.1–11, (2010)
A Hybrid Immigrants Scheme for Genetic Algorithms in Dynamic Environments
Dynamism
Dynamism in the Objective Function
Dynamism in the Restrictions
Methods
Genetic Algorithms (GA)
Hybrid Inmigrants Genetic Algorithm (HIGA)
Applications
Dynamic Deceptive Functions
Dynamic Knapsack Problem
Dynamic Onemax Function
Dynamic Royal Road Function
Synthetic Dynamic Problems
Measures
Best-of-Generation Evolution
Diversity
Offline Performance
Student's t-test
[Yang2007b]
A Hybrid Immigrants Scheme for Genetic Algorithms in Dynamic Environments
,
Yang, Shengxiang
, and
Tinós Renato
, International Journal of Automation and Computing, Volume 4, Number 3, p.243-254, (2007)
Population-Based Incremental Learning With Associative Memory for Dynamic Environments
Dynamism
Dynamism in the Objective Function
Methods
Evolutionary Algorithms
Genetic Algorithms (GA)
Immune-based Algorithms (IBAs)
Population Based Incremental Learning (PBIL) algorithms
Models
Associative Memory Scheme
Explicit Memory Schemes
Applications
Dynamic Deceptive Functions
Dynamic Onemax Function
Synthetic Dynamic Problems
Measures
Best-of-Generation Evolution
Diversity
Student's t-test
Mean Best-of-Generation
[Yang2008b]
Population-Based Incremental Learning With Associative Memory for Dynamic Environments
,
Yang, Shengxiang
, and
Yao Xin
, Evolutionary Computation, IEEE Transactions on, Volume 12, Number 5, p.542-561, (2008)
A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems
Dynamism
Dynamism in the Objective Function
Methods
Genetic Algorithms (GA)
Applications
Dynamic Deceptive Functions
Dynamic Onemax Function
Dynamic Plateau Function
Dynamic Royal Road Function
Synthetic Dynamic Problems
Measures
Offline Performance Evolution
Student's t-test
[Wang2009]
A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems
,
Wang, Hongfeng
,
Wang Dingwei
, and
Yang Shengxiang
, Soft Computing - A Fusion of Foundations, Methodologies and Applications, Volume 13, Number 8-9, p.763-780, (2009)
Genetic Algorithms with Memory- and Elitism-Based Immigrants in Dynamic Environments
Dynamism
Dynamism in the Objective Function
Methods
Genetic Algorithms (GA)
Memory Enhanced Genetic Algorithms (MEGA)
Random Inmigrants Genetic Algorithms (RIGA)
Applications
Dynamic Knapsack Problem
Dynamic Onemax Function
Dynamic Plateau Function
Synthetic Dynamic Problems
Measures
Best-of-Generation Evolution
Diversity
Offline Performance
Student's t-test
[Yang2008]
Genetic Algorithms with Memory- and Elitism-Based Immigrants in Dynamic Environments
,
Yang, Shengxiang
, Evolutionary Computation, Volume 16, Number 3, Cambridge, MA, USA, p.385-416, (2008)
Memory-based immigrants for genetic algorithms in dynamic environments
Dynamism
Dynamism in the Objective Function
Methods
Genetic Algorithms (GA)
Random Inmigrants Genetic Algorithms (RIGA)
Models
Explicit Memory Schemes
Applications
Dynamic Deceptive Functions
Dynamic Onemax Function
Synthetic Dynamic Problems
XOR-based Synthetic Dynamic Problems
Measures
Best-of-Generation Evolution
Offline Performance
Student's t-test
[Yang2005b]
Memory-based immigrants for genetic algorithms in dynamic environments
,
Yang, Shengxiang
, GECCO '05: Proceedings of the 2005 conference on Genetic and evolutionary computation, New York, NY, USA, p.1115-1122, (2005)
Analysis of the (1+1) EA for a dynamically bitwise changing OneMax
Dynamism
Dynamism in the Objective Function
Methods
Evolutionary Algorithms
Applications
Dynamic Onemax Function
Synthetic Dynamic Problems
[Droste2003]
Analysis of the (1+1) EA for a dynamically bitwise changing OneMax
,
Droste, S.
, LNCS, Volume 2723, p.909-921, (2003)
Non-stationary problem optimization using the primal-dual genetic algorithm
Dynamism
Dynamism in the Objective Function
Methods
Genetic Algorithms (GA)
Applications
Dynamic Deceptive Functions
Dynamic Onemax Function
Dynamic Royal Road Function
Synthetic Dynamic Problems
XOR-based Synthetic Dynamic Problems
Measures
Best-of-Generation Evolution
[Yang2003]
Non-stationary problem optimization using the primal-dual genetic algorithm
,
Yang, Shengxiang
, Proceedings of the 2003 Congress on Evolutionary Computation (CEC2003), 8-12 December, Volume 3, Canberra, p.2246-2253, (2003)
UMDAs for dynamic optimization problems
Dynamism
Dynamism in the Objective Function
Methods
Ant Colony Optimization (ACO)
Estimation-of-Distribution Algorithm (EDA)
Univariate Marginal Distribution Algorithm (UMDA)
Applications
Dynamic Onemax Function
Dynamic Royal Road Function
Synthetic Dynamic Problems
Measures
Diversity
Student's t-test
Mean Best-of-Generation
[Fernandes2008]
UMDAs for dynamic optimization problems
,
Fernandes, Carlos M.
,
Lima Cláudio
, and
Rosa Agostinho C.
, GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, New York, NY, USA, p.399-406, (2008)
Explicit Memory Schemes for Evolutionary Algorithms in Dynamic Environments
Dynamism
Dynamism in the Objective Function
Methods
Estimation-of-Distribution Algorithm (EDA)
Genetic Algorithms (GA)
Univariate Marginal Distribution Algorithm (UMDA)
Models
Associative Memory Scheme
Direct Memory Scheme
Explicit Memory Schemes
Applications
Dynamic Deceptive Functions
Dynamic Onemax Function
Dynamic Royal Road Function
Synthetic Dynamic Problems
Measures
Best-of-Generation Evolution
Offline Performance
Student's t-test
[Yang2007]
Explicit Memory Schemes for Evolutionary Algorithms in Dynamic Environments
,
Yang, Shengxiang
, Evolutionary Computation in Dynamic and Uncertain Environments, Volume 51/2007, p.3-28, (2007)
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Categories
Dynamism
Dynamism in the Objective Function (131)
Chaotic Fitness Landscapes (1)
Dynamism in the Restrictions (19)
Uncertainty
Uncertainty in the Objective Function (19)
Uncertainty in the Restrictions (10)
Methods
Adaptive Business Intelligence (1)
Ant Colony Optimization (ACO) (5)
Bayesian Optimization Algorithms (1)
Collaborative Evolutionary Swarm Optimization (CESO) (2)
Cooperative Strategies (5)
Centralised Cooperative System (2)
Multiagent Decentralised Strategy (1)
Cultural Algorithms (3)
Dijkstra's Shortest Path Algorithm (1)
Estimation-of-Distribution Algorithm (EDA) (5)
Univariate Marginal Distribution Algorithm (UMDA) (3)
Evolution Strategies (11)
Covariance Matrix Adaptation Evolution Strategy (CMA-ES) (3)
Differential Evolution (DE) (1)
Self-Adaptation Evolution Strategies (SA-ES) (1)
Evolutionary Algorithms (42)
Elastic Net Method (1)
Hierarchical Evolutionary Algorithms (1)
Population Based Incremental Learning (PBIL) algorithms (3)
Evolutionary Programming (2)
Evolutionary Swarm Cooperative Algorithm (ESCA) (1)
Genetic Algorithms (GA) (53)
Compact Genetic Algorithm (CGA) (1)
Evolvable Agent Model (EvAg) (1)
Hybrid Inmigrants Genetic Algorithm (HIGA) (1)
Memory Enhanced Genetic Algorithms (MEGA) (1)
NSGA-II (5)
Random Inmigrants Genetic Algorithms (RIGA) (9)
Standard Crowding Genetic Algorithm (1)
Structured Genetic Algorithm (sGA) (1)
Genetic Programming (1)
Genetics-Based Learning Classifier System (GBLCS) (1)
XCS (1)
Immune-based Algorithms (IBAs) (6)
Interval Arithmetic (1)
Memetic Algorithms (3)
Mixed Integer Linear Programming (MILP) (1)
Multi-Phase Multi-Individual Extremal Optimization (MMEO) Algorithm (1)
Neural Networks (2)
Orthogonal Dynamic Hill Climbing (ODHC) (1)
Parameter Auto-Adjustment (2)
Particle Swarm Optimization (PSO) (28)
Fuzzy PSO (1)
Hybrid PSO (2)
Prim's Minimum Spanning Tree (MST) Algorithm (1)
Reinforcement Learning Agents (1)
Reinforcement Learning Algorithm (2)
Self Organizing Scouts (SOS) (6)
Simulated Annealing (SA) (2)
Simulation Framework (1)
Stochastic Diffusion Search (1)
Tabu Search (2)
Variable Neighborhood Search (VNS) (1)
Widrow-Hoff Learning Technique (1)
Models
Abstract Memory Scheme (1)
Adaptive (1)
Self-Adaptive (1)
Adaptive Business Intelligence (1)
Combinatorial Optimization (2)
Data Mining (1)
Explicit Memory Schemes (7)
Associative Memory Scheme (3)
Direct Memory Scheme (1)
Fuzzy Linear Programming (FLP) (1)
Kalman Filters (1)
Multi-Objective Optimization (13)
Quadratic Modelling (1)
Self Organized Criticality (SOC) (3)
Surrogate Modeling (1)
Time-Linkage (2)
Applications
Aerospace Design (1)
Car Distribution System (1)
Decision Support Systems (DSS) (1)
DF1 Generator (cones) (6)
Dynamic Grid-World Problem (1)
Dynamic Knapsack Problem (15)
Dynamic Problem Generator (11)
Dynamic Scheduling (4)
Dynamic Subset Sum Problem (1)
Dynamic Travelling Salesman Problem (2)
Dynamic Vehicle Routing Problem (DVRP) (4)
Evolutionary Robotics (1)
Financial Optimization Problems (2)
Layout Synthesis of MEMS (1)
Modelling of ship trajectory (1)
Nk Landscape Problem (2)
Path Planning (2)
Pollution Control (1)
Pose Problem (1)
Real-6-Multiplexer Problem (1)
Rober Problem (1)
Robust Design (9)
Salting Route Optimization (1)
Shortest Path Routing Problems (1)
Structural Optimization (1)
Synthetic Dynamic Problems (87)
Dynamic Ackley Function (2)
Dynamic Bit-Matching (3)
Dynamic Deceptive Functions (10)
Dynamic Onemax Function (10)
Dynamic Plateau Function (3)
Dynamic Quadratic Function (1)
Dynamic Rastrigin Function (8)
Dynamic Royal Road Function (10)
Dynamic Scaling Problems (1)
Dynamic Schaffer's Function (1)
Dynamic Sphere (7)
Griewank Function (4)
Moving Parabola (7)
Moving Peaks Benchmark (MPB) (33)
Rosenbrock Function (4)
Shaky Ladder Hyperplane-Defined Functions (SL-HDF) (2)
Simple Test Case Generator (STCG) (1)
Time-Linkage Numerical Problems (2)
Trap Function based Synthetic Problems (2)
XOR-based Synthetic Dynamic Problems (4)
Synthetic Problems (6)
Varied-Line-Spacing Holographic Grating (VLSHG) (1)
Wireless Sensor Networks (1)
Measures
Accuracy (2)
ANOVA Test (2)
Average Best Function Value (ABFV) (5)
Average Error (1)
Average Fitness (2)
Average Fitness Evolution (6)
Average Generation Error (AGEr) (3)
Average Iterations Required to Track Changes (1)
Best Fitness (16)
Best Fitness Evolution (12)
Best-of-Generation Evolution (24)
Collective Mean Fitness (CMF) (5)
Convergence (1)
Cumulative Fitness (3)
Distance to Known Best (7)
Diversity (8)
ES Tracking Performance (1)
Mean Fitness Error (MFE) (5)
Median Fitness Evolution (1)
Offline Error Evolution (3)
Offline Performance (14)
Offline Performance Evolution (5)
Other measures (1)
Overall Offline Performance (1)
Pareto Optimality (6)
Success Counting (SCC) (1)
Problem Specific (10)
Proportion of Runs Succeeded (1)
Reactivity (1)
Recovery (1)
Relative Error (1)
Robustness (7)
Stability (1)
Standard Deviation (2)
Student's t-test (21)
Tahmane Test (2)
Time (1)
Tractability (1)
U Mann-Whitney Non-parametric Test (2)
Wilcoxon's Non-parametric test (1)
Mean Best-of-Generation (12)
Offline Error (17)