Adaptive Heterogeneous Multi-Population Cultural Algorithm
Explore this paper's citation graph
Summary
The main contribution of this dissertation is to introduce a new architecture for optimization algorithms which is called Heterogeneous Multi-Population Cultural Algorithm (HMP-CA), which significantly outperforms the state-of-the-art methods in terms of both effectiveness and efficiency.
- Type
- article
- Published
- 2014-01-01
- Cited by
- 0
- References
- 215
- OpenAlex
- https://openalex.org/W70593088
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:115606700
Keywords
Population, Computer science, Algorithm, Geography, Sociology
References
- Knowledge and population swarms in cultural algorithms for dynamic environments
- A Memetic Algorithm for the Maintenance Scheduling Problem
- Spatially Structured Evolutionary Algorithms: Artificial Evolution in Space and Time (Natural Computing Series)
- New Ideas in Optimisation
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- Competitive Environments Evolve Better Solutions for Complex Tasks
- Job Shop Scheduling with Genetic Algorithms
- DynDE: a differential evolution for dynamic optimization problems
- A New Dimension Division Scheme for Heterogeneous Multi-Population Cultural Algorithm
- LEGA: an architecture for learning and evolving flexible job-shop schedules
- Genetic Programming: On the Programming of Computers by Means of Natural Selection
- SPEA2: Improving the strength pareto evolutionary algorithm
- Selected applications of nonlinear programming
- Job-shop scheduling with multi-purpose machines
- Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
- A New Approach to Fuzzy Classifier Systems
- Minimizing the real functions of the ICEC'96 contest by differential evolution
- Scaling up fast evolutionary programming with cooperative coevolution
- Memetic algorithms: a short introduction
- A genetic algorithm for flexible job-shop scheduling
Cited by
No citing papers recorded for this paper.
Related papers
- Dynamic Heterogeneous Multi-Population Cultural Algorithm for Large Scale Global Optimization
- Cultural Algorithm based on Decomposition to solve Optimization Problems
- A Novel Multi-objective Cultural Algorithm Embedding Five-Element Cycle Optimization
- DEMO-TDQL: An adaptive multi-objective optimization algorithm
- A hybrid adaptive evolutionary algorithm in the domination-based and decomposition-based frameworks of multi-objective optimization
- Research on Genetic Algorithm Solving Multi-modal Optimization Problem
- Multi-population adaptive-gathering evolutionary algorithm in function optimization