Search

Showing total 277 results
277 results

Search Results

1. Almost sure convergence of randomised‐difference descent algorithm for stochastic convex optimisation.

2. Two modified spectral conjugate gradient methods and their global convergence for unconstrained optimization.

3. Linesearch methods for bilevel split pseudomonotone variational inequality problems.

4. Handling many-objective optimisation problems with R2 indicator and decomposition-based particle swarm optimiser.

5. General parameterized proximal point algorithm with applications in statistical learning.

6. A nonmonotone scaled conjugate gradient algorithm for large-scale unconstrained optimization.

7. Convergence analysis of a general iterative algorithm for finding a common solution of split variational inclusion and optimization problems.

8. A Derivative-Free Trust Region Algorithm with Nonmonotone Filter Technique for Bound Constrained Optimization.

9. Modified multiple search cooperative foraging strategy for improved artificial bee colony optimization with robustness analysis.

10. A Line-Search Algorithm Inspired by the Adaptive Cubic Regularization Framework and Complexity Analysis.

11. General Split Equality Equilibrium Problems with Application to Split Optimization Problems.

12. A three-term conjugate gradient algorithm for large-scale unconstrained optimization problems.

13. Weiszfeld's Method: Old and New Results.

14. A skin membrane-driven membrane algorithm for many-objective optimization.

15. Self-adaptive differential evolution algorithm with improved mutation strategy.

16. On the Theoretical Analysis of the Plant Propagation Algorithms.

17. A Conjugate Gradient Algorithm under Yuan-Wei-Lu Line Search Technique for Large-Scale Minimization Optimization Models.

18. Active-set Methods for Submodular Minimization Problems.

19. Matrix Completion with Noisy Entries and Outliers.

20. An Algorithm for Minimum L-Infinity Solution of Under-determined Linear Systems.

21. CONVERGENCE AND CYCLING IN WALKER-TYPE SADDLE SEARCH ALGORITHMS.

22. Sparse recovery by the iteratively reweighted algorithm for elastic minimization.

23. Natural Evolution Strategies.

24. Restricted Normal Cones and Sparsity Optimization with Affine Constraints.

25. The property of search strategies of swarm intelligent algorithms and their influences on stagnation.

26. A Version of the Mirror descent Method to Solve Variational Inequalities.

27. Many-objective optimization based on information separation and neighbor punishment selection.

28. A Two-Stage Active-Set Algorithm for Bound-Constrained Optimization.

29. A PREDICTOR-CORRECTOR PATH-FOLLOWING ALGORITHM FOR DUAL-DEGENERATE PARAMETRIC OPTIMIZATION PROBLEMS.

30. PROJECTION ONTO A POLYHEDRON THAT EXPLOITS SPARSITY.

31. Optimized first-order methods for smooth convex minimization.

32. Optimum design of large-scale truss towers using cascade optimization.

33. A feasible direction method for the semidefinite program with box constraints

34. Hybrid differential evolution with biogeography-based optimization algorithm for solution of economic emission load dispatch problems

35. On the accurate identification of active set for constrained minimax problems

36. A new fuzzy adaptive particle swarm optimization for non-smooth economic dispatch

37. Analysis of Some Global Optimization Algorithms for Space Trajectory Design.

38. Properties of Quantum Particles in Multi-Swarms for Dynamic Optimization.

39. Subgradient-Based Neural Networks for Nonsmooth Nonconvex Optimization Problems.

40. A nonmonotone quasi-Newton trust-region method of conic model for unconstrained optimization.

41. Projection algorithms for solving a system of general variational inequalities

42. Injection moulding optimisation of multi-class design variables using a PSO algorithm.

43. Guaranteeing Practical Convergence in Algorithms for Sensor and Source Localization.

44. On the Convergence of Multiplicative Update Algorithms for Nonnegative Matrix Factorization.

45. CONVERGENCE ANALYSIS OF A DISCRETE HOPFIELD NEURAL NETWORK WITH DELAY AND ITS APPLICATION TO KNOWLEDGE REFINEMENT.

46. Global Convergence of a Class of Discrete-Time Interconnected Pendulum-Like Systems.

47. On the Method of Shortest Residuals for Unconstrained Optimization.

48. Globally Convergent Optimization Algorithms on Riemannian Manifolds: Uniform Framework for Unconstrained and Constrained Optimization.

49. Toward the Training of Feed-Forward Neural Networks With the D-Optimum Input Sequence.

50. Basis functions and parameter optimisation in high-order iterative learning control