The following pages link to CEC 05 (Q30642):
Displaying 50 items.
- A differential evolution algorithm with self-adapting strategy and control parameters (Q709160) (← links)
- Nash game based efficient global optimization for large-scale design problems (Q721150) (← links)
- An evolutionary method for complex-process optimization (Q732898) (← links)
- Performance analysis of the simultaneous perturbation stochastic approximation algorithm on the noisy sphere model (Q764356) (← links)
- Self-adaptive salp swarm algorithm for engineering optimization problems (Q822022) (← links)
- Niching with derandomized evolution strategies in artificial and real-world landscapes (Q836002) (← links)
- Performance comparison of self-adaptive and adaptive differential evolution algorithms (Q877773) (← links)
- Random drift particle swarm optimization algorithm: convergence analysis and parameter selection (Q890323) (← links)
- Adaptive bare-bones particle swarm optimization algorithm and its convergence analysis (Q894657) (← links)
- Region based memetic algorithm for real-parameter optimisation (Q903616) (← links)
- An improved global-best harmony search algorithm (Q907399) (← links)
- Large scale evolutionary optimization using cooperative coevolution (Q933651) (← links)
- Evolvable agents, a fine grained approach for distributed evolutionary computing: walking towards the peer-to-peer computing frontiers (Q939187) (← links)
- A self-adaptive global best harmony search algorithm for continuous optimization problems (Q969151) (← links)
- Speeding up continuous GRASP (Q976348) (← links)
- The flexi-PSO: towards a more flexible particle swarm optimizer (Q980515) (← links)
- Cyber swarm algorithms - improving particle swarm optimization using adaptive memory strategies (Q1037659) (← links)
- A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 special session on real parameter optimization (Q1044246) (← links)
- Linkage based deferred acceptance optimization (Q1615653) (← links)
- A self-adaptive differential evolution algorithm for parameters identification of stochastic genetic regulatory networks with random delays (Q1639782) (← links)
- Intelligent multiple search strategy cuckoo algorithm for numerical and engineering optimization problems (Q1640407) (← links)
- Basin hopping networks of continuous global optimization problems (Q1642814) (← links)
- An adaptive hybrid differential evolution algorithm for single objective optimization (Q1644577) (← links)
- Co-evolving bee colonies by forager migration: a multi-swarm based artificial bee colony algorithm for global search space (Q1646096) (← links)
- Hybridizing harmony search algorithm with different mutation operators for continuous problems (Q1646228) (← links)
- Auto-selection mechanism of differential evolution algorithm variants and its application (Q1651721) (← links)
- Teaching-learning based optimization with global crossover for global optimization problems (Q1664240) (← links)
- Parameter estimation in rainfall-runoff modelling using distributed versions of particle swarm optimization algorithm (Q1667094) (← links)
- A novel complex-valued encoding grey wolf optimization algorithm (Q1736753) (← links)
- A new hybrid Cuckoo search and firefly optimization (Q1746431) (← links)
- An elite decision making harmony search algorithm for optimization problem (Q1760872) (← links)
- Registrar: a complete-memory operator to enhance performance of genetic algorithms (Q1928318) (← links)
- Paired-bacteria optimiser -- a simple and fast algorithm (Q1944140) (← links)
- A partition-based global optimization algorithm (Q1959242) (← links)
- Multi-strategy boosted mutative whale-inspired optimization approaches (Q1984930) (← links)
- A novel genetic algorithm for global optimization (Q1987599) (← links)
- Team arrangement heuristic algorithm (TAHA): theory and application (Q1997688) (← links)
- A deterministic method for continuous global optimization using a dense curve (Q1998159) (← links)
- Dynamic cluster in particle swarm optimization algorithm (Q2003492) (← links)
- Novel hybrid robust method for uncertain reliability analysis using finite conjugate map (Q2021125) (← links)
- Multipopulation cooperative particle swarm optimization with a mixed mutation strategy (Q2023254) (← links)
- Heterogeneous comprehensive learning and dynamic multi-swarm particle swarm optimizer with two mutation operators (Q2053799) (← links)
- Efficient hierarchical surrogate-assisted differential evolution for high-dimensional expensive optimization (Q2053862) (← links)
- GGA: a modified genetic algorithm with gradient-based local search for solving constrained optimization problems (Q2056278) (← links)
- A modified Lévy flight distribution for solving high-dimensional numerical optimization problems (Q2095657) (← links)
- A computational strategy for determining the optimal scaled wind speed in icing wind tunnel experiments (Q2108625) (← links)
- Global sensing search for nonlinear global optimization (Q2124800) (← links)
- Enhanced flow direction arithmetic optimization algorithm for mathematical optimization problems with applications of data clustering (Q2127944) (← links)
- Differential evolution with enhanced diversity maintenance (Q2192995) (← links)
- Cellular artificial bee colony algorithm with Gaussian distribution (Q2198251) (← links)
