Results 51 to 60 of about 10,104,704 (372)
Light Spectrum Optimizer: A Novel Physics-Inspired Metaheuristic Optimization Algorithm
Mathematics, 2022 This paper introduces a novel physical-inspired metaheuristic algorithm called “Light Spectrum Optimizer (LSO)” for continuous optimization problems. The inspiration for the proposed algorithm is the light dispersions with different angles while passing ...
Mohamed Abdel-Basset +3 more
semanticscholar +1 more source
Optimal deterministic algorithm generation [PDF]
Journal of Global Optimization, 2018 Abstract A formulation for the automated generation of algorithms via mathematical programming (optimization) is proposed. The formulation is based on the concept of optimizing within a parameterized family of algorithms, or equivalently a family of functions describing the algorithmic steps.
Mitsos, Alexander +2 more
openaire +4 more sources
Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization framework [PDF]
, 2018 Simplicity and flexibility of meta-heuristic optimization algorithms have attracted lots of attention in the field of optimization. Different optimization methods, however, hold algorithm-specific strengths and limitations, and selecting the best ...
AghaKouchak, A +7 more
core +1 more source
FEBS Letters, EarlyView.Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source
Parallel Deterministic and Stochastic Global Minimization of Functions with Very Many Minima [PDF]
, 2011 The optimization of three problems with high dimensionality and many local minima are investigated under five different optimization algorithms: DIRECT, simulated annealing, Spall’s SPSA algorithm, the KNITRO package, and QNSTOP, a new algorithm ...
Castle, Brent S. +4 more
core +1 more source
Global Continuous Optimization with Error Bound and Fast Convergence [PDF]
, 2015 This paper considers global optimization with a black-box unknown objective function that can be non-convex and non-differentiable. Such a difficult optimization problem arises in many real-world applications, such as parameter tuning in machine learning,
Kawaguchi, Kenji +2 more
core +2 more sources
Optimized K‐Means Algorithm [PDF]
Mathematical Problems in Engineering, 2014 The localization of the region of interest (ROI), which contains the face, is the first step in any automatic recognition system, which is a special case of the face detection. However, face localization from input image is a challenging task due to possible variations in location, scale, pose, occlusion, illumination, facial expressions, and clutter ...
Samir Brahim Belhaouari +2 more
openaire +1 more source
Molecular Oncology, EarlyView.This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan +9 more
wiley +1 more source
Secretary bird optimization algorithm: a new metaheuristic for solving global optimization problems
Artificial Intelligence ReviewThis study introduces a novel population-based metaheuristic algorithm called secretary bird optimization algorithm (SBOA), inspired by the survival behavior of secretary birds in their natural environment.
Youfa Fu, Dan Liu, Jiadui Chen, Ling He
semanticscholar +1 more source
Grasshopper Optimization Algorithm: Theory, Variants, and Applications
IEEE Access, 2021 Grasshopper Optimization Algorithm (GOA) is a recent swarm intelligence algorithm inspired by the foraging and swarming behavior of grasshoppers in nature.
Yassine Meraihi +3 more
semanticscholar +1 more source