• MLMSRBF

  • Referenced in 43 articles [sw07571]
  • algorithms were compared on 17 multimodal test problems and on a 12-dimensional groundwater bioremediation...
  • ESTRAUS

  • Referenced in 4 articles [sw14606]
  • package for solving supply-demand equilibrium problems on multimodal urban transportation networks with multiple user...
  • MultiGLODS

  • Referenced in 8 articles [sw41486]
  • global Pareto fronts for multiobjective multimodal derivative-free optimization problems. The proposed algorithm alternates between...
  • nestcheck

  • Referenced in 4 articles [sw28964]
  • Bayesian computation, in particular for multimodal, degenerate problems of moderate to high dimensionality. Without appropriate...
  • DDMOA2

  • Referenced in 1 article [sw11882]
  • operator, DDMOA2 demonstrates superior performance on multimodal problems...
  • CIXL2

  • Referenced in 19 articles [sw03302]
  • with regard to different criteria, such as, multimodality, separability, regularity and epistasis. With this ... extract conclusions in function of the problem at hand. We analyze the results using ANOVA...
  • MultiNest

  • Referenced in 50 articles [sw10481]
  • first public release of our multimodal nested sampling algorithm, called MultiNest. This Bayesian inference tool ... wide range of astrophysical inference problems. The accuracy and economy of the MultiNest algorithm...
  • Borg

  • Referenced in 10 articles [sw08873]
  • objective evolutionary algorithm (MOEA) for many-objective, multimodal optimization. The Borg MOEA combines -dominance ... study on 33 instances of 18 test problems from the DTLZ...
  • ViDRILO

  • Referenced in 1 article [sw28256]
  • benchmark for different problems such as multimodal place classification and object recognition, 3D reconstruction...
  • DNest4

  • Referenced in 3 articles [sw25767]
  • solving complex problems including many where the posterior distribution is multimodal or has strong dependencies...
  • gpu-cgrasp

  • Referenced in 1 article [sw41467]
  • cost-efficient solutions to continuous global optimization problems subject to box constraints. C-GRASP ... well-known multimodal test functions as well as on difficult real-world problems, hence...
  • KGSA

  • Referenced in 1 article [sw29072]
  • KGSA: a gravitational search algorithm for multimodal optimization based on K-means Niching technique ... unimodal problems. In this paper, a K-means based GSA (KGSA) for multimodal optimization...
  • APT-MCMC

  • Referenced in 1 article [sw41062]
  • Monte Carlo for parameter identification. The inverse problem associated with fitting parameters of an ordinary ... system to data is nonlinear and multimodal, which is of great challenge to gradient-based ... provide an alternative approach to solving these problems and can escape local minima by design...
  • 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 ... proposed algorithm in reliably addressing real-world problems was demonstrated in solving five constrained...
  • Pathomic Fusion

  • Referenced in 1 article [sw41413]
  • multimodal biomedical data in an intuitive manner, which will be useful for other problems...
  • VLIRVDIF

  • Referenced in 0 articles [sw27340]
  • contribute to alleviate the problem faced by most researchers in multimodal image fusion that...
  • Social GAN

  • Referenced in 2 articles [sw39577]
  • challenging because human motion is inherently multimodal: given a history of human motion paths, there ... move in the future. We tackle this problem by combining tools from sequence prediction...
  • pypmc

  • Referenced in 1 article [sw22793]
  • package is able to efficiently integrate multimodal functions in up to about 30-40 dimensions ... accuracy or less. For many problems, this is achieved without requiring any manual input from...
  • LPMode

  • Referenced in 3 articles [sw19065]
  • hunting or mode identification is a fundamental problem that arises in almost every scientific field ... based on a new theory for detecting multimodality of a probability density. We apply LPMode...
  • PROVID

  • Referenced in 1 article [sw33960]
  • PROVID: Progressive and Multimodal Vehicle Reidentification for Large-Scale Urban Surveillance. Compared with person reidentification ... vehicle reidentification is an important yet frontier problem in video surveillance and has been neglected ... particular, our framework not only utilizes the multimodality data in large-scale video surveillance, such...