• MLMSRBF

  • Referenced in 43 articles [sw07571]
  • framework for the global optimization of computationally expensive multimodal functions when derivatives are unavailable ... previously evaluated points. We develop a global optimization version and a multistart local optimization version ... local optimization method. Multiple trials of all algorithms were compared on 17 multimodal test problems ... promising approach for the global optimization of expensive functions...
  • simannf90

  • Referenced in 120 articles [sw05059]
  • Minimizing multimodal functions of continuous variables with the “simulated annealing” algorithm From authors’ summary ... global optimization algorithm for functions of continuous variables is presented, derived from the “simulated annealing...
  • UEGO

  • Referenced in 17 articles [sw02239]
  • UEGO, an abstract clustering technique for multimodal global optimization In this paper, UEGO...
  • Borg

  • Referenced in 10 articles [sw08873]
  • evolutionary algorithm (MOEA) for many-objective, multimodal optimization. The Borg MOEA combines -dominance, a measure...
  • SGDR

  • Referenced in 17 articles [sw30752]
  • common in gradient-free optimization to deal with multimodal functions. Partial warm restarts are also...
  • MultiGLODS

  • Referenced in 8 articles [sw41486]
  • multiobjective optimization using direct search. The optimization of multimodal functions is a challenging task ... strategy was proposed for global derivative-free optimization of single objective functions. The goal ... global Pareto fronts for multiobjective multimodal derivative-free optimization problems. The proposed algorithm alternates between...
  • CIXL2

  • Referenced in 19 articles [sw03302]
  • functions to be optimized with regard to different criteria, such as, multimodality, separability, regularity...
  • KGSA

  • Referenced in 1 article [sw29072]
  • KGSA: a gravitational search algorithm for multimodal optimization based on K-means Niching technique ... means based GSA (KGSA) for multimodal optimization is proposed. This algorithm incorporates K-means ... global optima of constrained and unconstrained multimodal functions...
  • AS 133

  • Referenced in 4 articles [sw27950]
  • Algorithm AS 133. Optimization of one-dimensional multimodal functions...
  • Spartacus

  • Referenced in 15 articles [sw12426]
  • Spartacus is a tableau prover for hybrid multimodal logic with global modalities and reflexive ... competitive performance, Spartacus implements a number of optimization techniques, including a new technique that...
  • MATSuMoTo

  • Referenced in 4 articles [sw20551]
  • find optimal solutions within very few expensive evaluations. The multimodality of the expensive black...
  • OsiriX

  • Referenced in 11 articles [sw16649]
  • interpretation of large sets of multidimensional and multimodality images such as combined PET-CT studies ... also benefits from the extremely fast and optimized 3D graphic capabilities of the OpenGL graphic...
  • GOPS

  • Referenced in 1 article [sw41018]
  • global optimization algorithm with high dimensions and many parallel processors including application to multimodal water ... parallel global surrogate-based algorithm Global Optimization in Parallel with Surrogate (GOPS) for the minimization...
  • IMIS-ShOpt

  • Referenced in 1 article [sw41728]
  • enable wider likelihood exploration. The introduced shotgun optimization approach is embedded into an incremental mixture ... algorithm to produce improved posterior samples for multimodal densities and creates robustness in cases where ... prior are in disagreement. Despite using different optimization approaches, the samples are combined into samples...
  • GenMin

  • Referenced in 2 articles [sw10451]
  • GenMin: An enhanced genetic algorithm for global optimization. A new method that employs grammatical evolution ... global minimum of a continuous multidimensional, multimodal function is considered. The genetic algorithm used ... compare with other established global optimization methods. The accompanying software accepts objective functions coded either...
  • APT-MCMC

  • Referenced in 1 article [sw41062]
  • nonlinear and multimodal, which is of great challenge to gradient-based optimizers. Markov Chain Monte...
  • Chameleon Swarm

  • Referenced in 2 articles [sw42108]
  • feasible solutions when applied to address optimization problems. The stability of the proposed algorithm ... evaluation measures. These test functions involve unimodal, multimodal, hybrid and composition functions with different levels ... other meta-heuristic algorithms in terms of optimization accuracy. The applicability of the proposed algorithm...
  • DDMOA2

  • Referenced in 1 article [sw11882]
  • highly competitive results with well-established multiobjective optimizers on all tested problems. Moreover ... reproduction operator, DDMOA2 demonstrates superior performance on multimodal problems...
  • gpu-cgrasp

  • Referenced in 1 article [sw41467]
  • finding cost-efficient solutions to continuous global optimization problems subject to box constraints. C-GRASP ... demonstrated competitive performance on several well-known multimodal test functions as well as on difficult...
  • LASCAD

  • Referenced in 2 articles [sw15110]
  • users has helped us gather experience for optimizing laser resonator design. For this purpose LASCAD ... lensing, gain guiding etc., Dynamic Analysis of Multimode and Q-switch operation (DMA), 3D Wave...