Pages that link to "Item:Q1200634"

The following pages link to Stochastic techniques for global optimization: A survey of recent advances (Q1200634):

Displaying 35 items.

• The robust constant and its applications in random global search for unconstrained global optimization (Q280976) (← links)
• Multiagent cooperation for solving global optimization problems: an extendible framework with example cooperation strategies (Q377733) (← links)
• Interactive model-based search with reactive resource allocation (Q506450) (← links)
• A study of global optimization using particle swarms (Q555999) (← links)
• A stochastic technique for global optimization (Q806680) (← links)
• On the investigation of stochastic global optimization algorithms (Q813356) (← links)
• Matching stochastic algorithms to objective function landscapes (Q813359) (← links)
• Adaptive search with stochastic acceptance probabilities for global optimization (Q943781) (← links)
• A stochastic probing algorithm for global optimization (Q1187848) (← links)
• Stochastic methods for practical global optimization (Q1281482) (← links)
• Two strategies of adaptive cluster covering with descent and their comparison to other algorithms (Q1284411) (← links)
• Stochastic global optimization: Problem classes and solution techniques (Q1304350) (← links)
• On a new stochastic global optimization algorithm based on censored observations (Q1315438) (← links)
• Application of stochastic global optimization algorithms to practical problems (Q1379931) (← links)
• A direct stochastic algorithm for global search (Q1412565) (← links)
• Experiments with new stochastic global optimization search techniques (Q1571032) (← links)
• Optimal time-profiles of public health intervention to shape voluntary vaccination for childhood diseases (Q1731949) (← links)
• The application of a unified Bayesian stopping criterion in competing parallel algorithms for global optimization (Q1767963) (← links)
• Several algorithms of global optimal search (Q1804243) (← links)
• Computational experience with general equilibrium problems (Q1814988) (← links)
• A global optimization algorithm for linear fractional and bilinear programs (Q1890945) (← links)
• An adaptive stochastic global optimization algorithm for one-dimensional functions (Q1904720) (← links)
• A branch-and-reduce approach to global optimization (Q1924068) (← links)
• Stochastic optimization with adaptive restart: a framework for integrated local and global learning (Q2022223) (← links)
• Hopping between distant basins (Q2079697) (← links)
• Stochastic global optimization algorithms: a systematic formal approach (Q2200687) (← links)
• A probabilistic cooperative-competitive hierarchical model for global optimization (Q2493692) (← links)
• A new class of improved convex underestimators for twice continuously differentiable constrained NLPs (Q2574101) (← links)
• Three new stochastic local search algorithms for continuous optimization problems (Q2636613) (← links)
• Improving an optimization-based framework for sensitivity analysis in multi-criteria decision-making (Q2720013) (← links)
• Multiscale annealing and robustness: Fast heuristics for large scale nonlinear optimization (Q2762582) (← links)
• Optimization by stochastic methods. (Q2784999) (← links)
• The Robust Constant and Its Applications in Global Optimization (Q2942507) (← links)
• État de l'art des méthodes “d'optimisation globale” (Q4531458) (← links)
• (Q4640242) (← links)