Results 51 to 60 of about 10,333,076 (321)
A New Metaheuristic Bat-Inspired Algorithm
, 2010 Metaheuristic algorithms such as particle swarm optimization, firefly algorithm and harmony search are now becoming powerful methods for solving many tough optimization problems.
J. Kennedy +9 more
core +1 more source
Adaptive multimodal continuous ant colony optimization [PDF]
, 2017 Seeking multiple optima simultaneously, which multimodal optimization aims at, has attracted increasing attention but remains challenging. Taking advantage of ant colony optimization algorithms in preserving high diversity, this paper intends to extend ...
Chen, Wei-Neng +6 more
core +2 more sources
Optimization Algorithms for Wireless Sensor Networks Node Localization: An Overview
IEEE AccessWireless Sensor Networks (WSNs) play a critical role in numerous applications, and accurate localization of sensor nodes is vital for their effective operation.
Rami Ahmad +3 more
semanticscholar +1 more source
Nature-Inspired Optimization Algorithms for Text Document Clustering - A Comprehensive Analysis
Algorithms, 2020 Text clustering is one of the efficient unsupervised learning techniques used to partition a huge number of text documents into a subset of clusters. In which, each cluster contains similar documents and the clusters contain dissimilar text documents ...
L. Abualigah +6 more
semanticscholar +1 more source
Metaheuristic Optimization Algorithms: an overview
HCMCOU Journal of Science – Advances in Computational StructuresMetaheuristic optimization algorithms are known for their versatility and adaptability, making them effective tools for solving a wide range of complex optimization problems.
Brahim Benaissa +5 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
Conservative Signal Processing Architectures For Asynchronous, Distributed Optimization Part II: Example Systems [PDF]
, 2015 This paper provides examples of various synchronous and asynchronous signal processing systems for performing optimization, utilizing the framework and elements developed in a preceding paper.
Baran, Thomas A., Lahlou, Tarek A.
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Cioa: Circle-Inspired Optimization Algorithm, an Algorithm for Engineering Optimization
SSRN Electronic Journal, 2022 Este documento presenta un nuevo algoritmo de optimización metaheurística, robusto y muy eficiente, llamado Algoritmo de Optimización Inspirado en Círculo (CIOA), para resolver problemas de optimización de ingeniería restringidos y sin restricciones.
Otávio Augusto Peter de Souza +1 more
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Blinatumomab is a bispecific T‐cell engager approved for the treatment of pediatric B‐cell acute lymphoblastic leukemia (B‐ALL). Outpatient home infusion reduces hospitalization burden and optimizes resource utilization, but is logistically challenging.
Angela Parra del Riego +10 more
wiley +1 more source
Applications of Bee Colony Optimization [PDF]
, 2013 Many computationally difficult problems are attacked using non-exact algorithms, such as approximation algorithms and heuristics. This thesis investigates an ex- ample of the latter, Bee Colony Optimization, on both an established optimization problem in
CHALK, AIDAN BERNARD GERARD
core