Global optimization by an improved differential evolutionary algorithm
From MaRDI portal
Publication:2371478
DOI10.1016/j.amc.2006.10.021zbMath1121.65070OpenAlexW2147937968MaRDI QIDQ2371478
Yong-Jun Wang, Jiang-She Zhang
Publication date: 4 July 2007
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2006.10.021
global optimizationnumerical examplesnonconvex programmingchaotic systemspattern search methoddifferential evolutionary algorithm
Numerical mathematical programming methods (65K05) Nonconvex programming, global optimization (90C26) Nonlinear programming (90C30)
Related Items (7)
hABCDE: a hybrid evolutionary algorithm based on artificial bee colony algorithm and differential evolution ⋮ A hybrid shuffled complex evolution approach based on differential evolution for unconstrained optimization ⋮ The effects of using chaotic map on improving the performance of multiobjective evolutionary algorithms ⋮ Pathway identification using parallel optimization for a nonlinear hybrid system in batch culture ⋮ A local exploration-based differential evolution algorithm for constrained global optimization ⋮ A stochastic multi-item replenishment and delivery problem with lead-time reduction initiatives and the solving methodologies ⋮ Chaos optimization algorithms based on chaotic maps with different probability distribution and search speed for global optimization
Cites Work
- Unnamed Item
- Unnamed Item
- Optimization by Simulated Annealing
- Differential evolution. A practical approach to global optimization. With CD-ROM.
- Genetic algorithm for constrained global optimization in continuous variables
- An improved simulated annealing for solving the linear constrained optimization problems
- Differential evolution with preferential crossover
- Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
- Application of chaos in simulated annealing
- A differential free point generation scheme in the differential evolution algorithm
- Improved particle swarm optimization combined with chaos
- Repel the swarm to the optimum!
- Ant colony optimization for finding the global minimum
- An effective hybrid PSOSA strategy for optimization and its application to parameter estimation
- A fuzzy adaptive differential evolution algorithm
- Analysis of Generalized Pattern Searches
- A neural network model as a globally coupled map and applications based on chaos
- Pattern Search Algorithms for Bound Constrained Minimization
- Simple mathematical models with very complicated dynamics
- Sequential Application of Simplex Designs in Optimisation and Evolutionary Operation
This page was built for publication: Global optimization by an improved differential evolutionary algorithm
