Unified space approach-based Dynamic Switched Crowding (DSC): a new method for designing Pareto-based multi/many-objective algorithms

HT Kahraman, M Akbel, S Duman, M Kati… - Swarm and Evolutionary …, 2022 - Elsevier
This study proposes a robust method to improve the search performance of multi-objective
evolutionary algorithms (MOEAs) using a Pareto-based archiving mechanism and a …

Constrained multi-objective optimization of compact microwave circuits by design triangulation and pareto front interpolation

S Koziel, A Pietrenko-Dabrowska - European Journal of Operational …, 2022 - Elsevier
Abstract Development of microwave components is an inherently multi-objective task. This is
especially pertinent to the design closure stage, ie, final adjustment of geometry and/or …

[HTML][HTML] An exact and metaheuristic optimization framework for solving Vehicle Routing Problems with Shipment Consolidation using population-based and Swarm …

MK Zuhanda, SARS Hasibuan, YY Napitupulu - Decision Analytics Journal, 2024 - Elsevier
Abstract The Vehicle Routing Problem with Shipment Consolidation (VRPSC) is a novel
variation of the vehicle routing problem that involves multiple commodities, multiple …

An improved differential evolution algorithm for multi-modal multi-objective optimization

D Qu, H **ao, H Chen, H Li - PeerJ Computer Science, 2024 - peerj.com
Multi-modal multi-objective problems (MMOPs) have gained much attention during the last
decade. These problems have two or more global or local Pareto optimal sets (PSs), some …

Extracting Sentiment from Business News Announcements for More Efficient Decision Making

K Liagkouras, K Metaxiotis - … Decision Support Systems: Papers in Honour …, 2024 - Springer
Sentiment analysis is a subfield of natural language processing intending to identify if the
content of a text is positive, negative, or neutral. Over the last years we have witnessed an …