The following pages link to Advances in differential evolution (Q931616):
Displaying 42 items.
- DeMat (Q36602) (← links)
- Clustered enhanced differential evolution for the blocking flow shop scheduling problem (Q300862) (← links)
- A hybrid differential evolution approach based on surrogate modelling for scheduling bottleneck stages (Q342190) (← links)
- Differential evolution with adaptive mutation and parameter control using Lévy probability distribution (Q389033) (← links)
- A hybrid differential evolution and tree search algorithm for the job shop scheduling problem (Q410367) (← links)
- A comparative study of crossover in differential evolution (Q415564) (← links)
- A survey on optimization metaheuristics (Q497180) (← links)
- Enhancing distributed differential evolution with multicultural migration for global numerical optimization (Q497574) (← links)
- Differential evolution with generalized differentials (Q629472) (← links)
- A self-adaptive differential evolution algorithm for binary CSPs (Q660953) (← links)
- A hybrid procedure to identify the optimal stiffness coefficients of elastically restrained beams (Q747473) (← links)
- Statistical learning makes the hybridization of particle swarm and differential evolution more efficient --- a novel hybrid optimizer (Q848252) (← links)
- New mutation schemes for differential evolution algorithm and their application to the optimization of directional over-current relay settings (Q963937) (← links)
- Parent-centric differential evolution algorithm for global optimization problems (Q980525) (← links)
- Fast learning rate of non-sparse multiple kernel learning and optimal regularization strategies (Q1657947) (← links)
- Hybridization of adaptive differential evolution with an expensive local search method (Q1659203) (← links)
- A direct search algorithm for global optimization (Q1736805) (← links)
- Comparative analysis of differential evolution methods to optimize parameters of fuzzy classifiers (Q1745855) (← links)
- An improved binary differential evolution algorithm for optimizing PWM control laws of power inverters (Q1787319) (← links)
- (Non) convergence results for the differential evolution method (Q2018857) (← links)
- Differential evolution: from theory to practice (Q2057564) (← links)
- An automatic well planner for complex well trajectories (Q2066855) (← links)
- Applications of differential evolution in electric power systems (Q2086565) (← links)
- Differential evolution with enhanced diversity maintenance (Q2192995) (← links)
- Study on the application scheme of aerodynamic coefficient identification based on the differential evolution algorithm (Q2196911) (← links)
- Relevance vector machine with tuning based on self-adaptive differential evolution approach for predictive modelling of a chemical process (Q2242471) (← links)
- Differential evolution algorithm of solving an inverse problem for the spatial Solow mathematical model (Q2660787) (← links)
- Predictive modeling in a steelmaking process using optimized relevance vector regression and support vector regression (Q2675703) (← links)
- Asynchronous Differential Evolution (Q2902489) (← links)
- Generalized Differential Evolution for Numerical and Evolutionary Optimization (Q2958245) (← links)
- Is Differential Evolution Rotationally Invariant? (Q3120284) (← links)
- A Global Search Approach for Inducing Oblique Decision Trees Using Differential Evolution (Q3305111) (← links)
- (Q3416406) (← links)
- Generalized Nets as a Tool for the Modelling of Data Mining Processes (Q4558949) (← links)
- Simultaneous estimation of tracer kinetic model parameters using analytical and inverse approaches with a hybrid method (Q5031767) (← links)
- Improving the Convergence of Differential Evolution (Q5274952) (← links)
- (Q5319921) (← links)
- A simulation‐based differential evolution algorithm for stochastic parallel machine scheduling with operational considerations (Q5416762) (← links)
- Proposal and validation of an optimization method using Monte Carlo method for multi-objective functions (Q6089603) (← links)
- When are two pieces better than one: fitting and testing OLS and RMA regressions (Q6089996) (← links)
- Forecast of the outlet turbidity and filtered volume in different microirrigation filters and filtration media by using machine learning techniques (Q6126024) (← links)
- Algorithms for path optimizations: a short survey (Q6488103) (← links)
