Intelligent Optimization Strategies in Uncertain and Dynamic Environments
Applications
Navigation
Home
Paper search
All publications
Our publications
Bibliography summary
Resources and Links
Submit a contribution
About us
User login
Login
Home
Synthetic Dynamic Problems
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)
Adaptive Primal-Dual Genetic Algorithms in Dynamic Environments
Dynamism
Dynamism in the Objective Function
Methods
Genetic Algorithms (GA)
Applications
Dynamic Deceptive Functions
Dynamic Knapsack Problem
Dynamic Royal Road Function
Synthetic Dynamic Problems
Measures
Student's t-test
Mean Best-of-Generation
[Wang2009b]
Adaptive Primal-Dual Genetic Algorithms in Dynamic Environments
,
Wang, Hongfeng
,
Yang Shengxiang
,
Ip W. H.
, and
Wang Dingwei
, Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, Volume 39, Number 6, p.1348-1361, (2009)
A Particle Swarm Optimization Based Memetic Algorithm for Dynamic Optimization Problems
Dynamism
Dynamism in the Objective Function
Methods
Hybrid PSO
Memetic Algorithms
Particle Swarm Optimization (PSO)
Applications
Moving Peaks Benchmark (MPB)
Synthetic Dynamic Problems
Measures
Mean Fitness Error (MFE)
Offline Performance
Overall Offline Performance
Student's t-test
[Wang2009c]
A Particle Swarm Optimization Based Memetic Algorithm for Dynamic Optimization Problems
,
Wang, Hongfeng
,
Yang Shengxiang
,
Ip W. H.
, and
Wang Dingwei
, Natural Computing, (2009)
(1+1) Genetic Algorithm Fitness Dynamics in a Changing Environment
Dynamism
Dynamism in the Objective Function
Methods
Genetic Algorithms (GA)
Applications
Dynamic Bit-Matching
Synthetic Dynamic Problems
Measures
Best Fitness Evolution
[Stanhope1999]
(1+1) Genetic Algorithm Fitness Dynamics in a Changing Environment
,
Stanhope, S. A.
, and
Daida J. M.
, Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on, Volume 3, p.1851-1858, (1999)
Dynamic Evolutionary Algorithm With Variable Relocation
Dynamism
Dynamism in the Objective Function
Methods
Evolutionary Algorithms
Applications
Synthetic Dynamic Problems
Measures
Offline Error Evolution
U Mann-Whitney Non-parametric Test
[Woldesenbet2009]
Dynamic Evolutionary Algorithm With Variable Relocation
,
Woldesenbet, Yonas G.
, and
Yen Gary G.
, Evolutionary Computation, IEEE Transactions on, Volume 13, Number 3, p.500-513, (2009)
Explicit Speciation with few a priori Parameters for Dynamic Optimization Problems
Dynamism
Dynamism in the Objective Function
Methods
Genetic Algorithms (GA)
Applications
Moving Peaks Benchmark (MPB)
Synthetic Dynamic Problems
Measures
Offline Error
[Ronnewinkel2001]
Explicit Speciation with few a priori Parameters for Dynamic Optimization Problems
,
Ronnewinkel, C.
, and
Martinetz T.
, GECCO Workshop on Evolutionary Algorithms for Dynamic Optimization Problems, San Francisco, p.31-34, (2001)
Stochastic Diffusion Search: Partial Function Evaluation In Swarm Intelligence Dynamic Optimisation
Dynamism
Dynamism in the Objective Function
Methods
Particle Swarm Optimization (PSO)
Stochastic Diffusion Search
Applications
Moving Peaks Benchmark (MPB)
Synthetic Dynamic Problems
Measures
Proportion of Runs Succeeded
[Meyer2006]
Stochastic Diffusion Search: Partial Function Evaluation In Swarm Intelligence Dynamic Optimisation
,
Meyer, Kris De
,
Nasuto Slawomir J.
, and
Bishop Mark
, Stigmergic Optimization, Volume 31, p.185-207, (2006)
1
2
3
4
5
6
7
8
9
next ›
last »
This site is still under active development
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)