Matches in SemOpenAlex for { <https://semopenalex.org/work/W4310239167> ?p ?o ?g. }
- W4310239167 abstract "Abstract Βrainstorm Optimization (BSO) is a swarm-intelligence clustering-based algorithm inspired by the human brainstorming process. Electromagnetism-like Mechanism for global Optimization (EMO) is a physics-inspired optimization algorithm. In this study we propose a novel hybrid metaheuristic evolutionary algorithm that combines aspects from both BSO and EMO. The proposed algorithm, named Emotion-aware Brainstorm Optimization (EBO), is inspired by the attraction-repulsion mechanism of electromagnetism, and it is applied in a new emotion-aware brainstorming context, where positive and negative thoughts produce ideas interacting with each other. Novel contributions include a bi-polar clustering approach, a probabilistic selection operator, and a hybrid evolution process, which improves the ability of the algorithm to avoid local optima and convergence speed. A systematic comparative performance evaluation that includes sensitivity analysis, convergence velocity and dynamic fitness landscape analyses, and scalability assessment was performed using several reference benchmark functions from standard benchmark suites. The results validate the performance advantages of the proposed algorithm over relevant state-of-the-art algorithms." @default.
- W4310239167 created "2022-11-30" @default.
- W4310239167 creator A5012632769 @default.
- W4310239167 creator A5020655974 @default.
- W4310239167 creator A5040603418 @default.
- W4310239167 date "2022-11-29" @default.
- W4310239167 modified "2023-10-17" @default.
- W4310239167 title "Emotion-Aware Brainstorm Optimization" @default.
- W4310239167 cites W1596195064 @default.
- W4310239167 cites W1972892829 @default.
- W4310239167 cites W1981230699 @default.
- W4310239167 cites W2034759311 @default.
- W4310239167 cites W2049167211 @default.
- W4310239167 cites W2052741302 @default.
- W4310239167 cites W2058848769 @default.
- W4310239167 cites W2076997735 @default.
- W4310239167 cites W2080225516 @default.
- W4310239167 cites W2086523918 @default.
- W4310239167 cites W2096166399 @default.
- W4310239167 cites W2119401655 @default.
- W4310239167 cites W2125391437 @default.
- W4310239167 cites W2135872152 @default.
- W4310239167 cites W2169472428 @default.
- W4310239167 cites W2287041580 @default.
- W4310239167 cites W2321139193 @default.
- W4310239167 cites W2328748047 @default.
- W4310239167 cites W2345208410 @default.
- W4310239167 cites W2469971951 @default.
- W4310239167 cites W2493711625 @default.
- W4310239167 cites W2593949166 @default.
- W4310239167 cites W2618815922 @default.
- W4310239167 cites W2745335589 @default.
- W4310239167 cites W2769414579 @default.
- W4310239167 cites W2769744156 @default.
- W4310239167 cites W2771933684 @default.
- W4310239167 cites W2772089716 @default.
- W4310239167 cites W2776356831 @default.
- W4310239167 cites W2777564262 @default.
- W4310239167 cites W2791512502 @default.
- W4310239167 cites W2794010432 @default.
- W4310239167 cites W2797854610 @default.
- W4310239167 cites W2898229188 @default.
- W4310239167 cites W2898620091 @default.
- W4310239167 cites W2944193307 @default.
- W4310239167 cites W2972256350 @default.
- W4310239167 cites W3087997050 @default.
- W4310239167 cites W3092427158 @default.
- W4310239167 cites W3104621635 @default.
- W4310239167 cites W3119242175 @default.
- W4310239167 cites W3134954698 @default.
- W4310239167 cites W3162763213 @default.
- W4310239167 cites W3213515910 @default.
- W4310239167 cites W4213380509 @default.
- W4310239167 cites W4229082946 @default.
- W4310239167 cites W4238877873 @default.
- W4310239167 cites W4288047838 @default.
- W4310239167 cites W4306777705 @default.
- W4310239167 doi "https://doi.org/10.21203/rs.3.rs-2309654/v1" @default.
- W4310239167 hasPublicationYear "2022" @default.
- W4310239167 type Work @default.
- W4310239167 citedByCount "1" @default.
- W4310239167 countsByYear W43102391672023 @default.
- W4310239167 crossrefType "posted-content" @default.
- W4310239167 hasAuthorship W4310239167A5012632769 @default.
- W4310239167 hasAuthorship W4310239167A5020655974 @default.
- W4310239167 hasAuthorship W4310239167A5040603418 @default.
- W4310239167 hasBestOaLocation W43102391671 @default.
- W4310239167 hasConcept C109718341 @default.
- W4310239167 hasConcept C111919701 @default.
- W4310239167 hasConcept C119487961 @default.
- W4310239167 hasConcept C119857082 @default.
- W4310239167 hasConcept C126255220 @default.
- W4310239167 hasConcept C13280743 @default.
- W4310239167 hasConcept C141934464 @default.
- W4310239167 hasConcept C150672426 @default.
- W4310239167 hasConcept C151730666 @default.
- W4310239167 hasConcept C154945302 @default.
- W4310239167 hasConcept C162324750 @default.
- W4310239167 hasConcept C185798385 @default.
- W4310239167 hasConcept C205649164 @default.
- W4310239167 hasConcept C2777303404 @default.
- W4310239167 hasConcept C2779343474 @default.
- W4310239167 hasConcept C33923547 @default.
- W4310239167 hasConcept C41008148 @default.
- W4310239167 hasConcept C48044578 @default.
- W4310239167 hasConcept C49937458 @default.
- W4310239167 hasConcept C50522688 @default.
- W4310239167 hasConcept C73555534 @default.
- W4310239167 hasConcept C77088390 @default.
- W4310239167 hasConcept C85617194 @default.
- W4310239167 hasConcept C86803240 @default.
- W4310239167 hasConcept C98045186 @default.
- W4310239167 hasConceptScore W4310239167C109718341 @default.
- W4310239167 hasConceptScore W4310239167C111919701 @default.
- W4310239167 hasConceptScore W4310239167C119487961 @default.
- W4310239167 hasConceptScore W4310239167C119857082 @default.
- W4310239167 hasConceptScore W4310239167C126255220 @default.
- W4310239167 hasConceptScore W4310239167C13280743 @default.
- W4310239167 hasConceptScore W4310239167C141934464 @default.
- W4310239167 hasConceptScore W4310239167C150672426 @default.