Results 101 to 110 of about 14,171 (244)

Bridging the implementation gap in MCABC inventory management: from a taxonomy to practical archetypes

open access: yesInternational Transactions in Operational Research, EarlyView.
Abstract Despite increasing demands for resilient and sustainable supply chains, inventory management often relies on outdated single‐criterion analyses. While multi‐criteria ABC (MCABC) analyses provide a theoretically mature assessment of resilience‐sustainability‐benefit trade‐offs in inventory, their adoption remains limited due to fragmented ...
Lukas Grützner, Michael H. Breitner
wiley   +1 more source

Cooperative artificial bee colony algorithm for multi-objective RFID network planning [PDF]

open access: yes, 2014
Radio frequency identification (RFID) is rapidly growing into an important technology for object identification and tracking applications. This gives rise to the most challenging RFID network planning (RNP) problem in the large-scale RFID deployment ...
Zhu YL(朱云龙)   +3 more
core   +1 more source

A hybrid artificial bee colony optimizer by combining with life-cycle, Powell's search and crossover

open access: yes, 2015
This paper proposes a hybrid artificial bee colony optimizer (HABC) by restructuring the artificial bee colony system with life-cycle, Powell's search and social learning.
Zhu YL(朱云龙)   +3 more
core  

Deep reinforcement learning for multi‐restart metaheuristics: an environment design for a hybrid of unbiased exploratory search and covariance matrix adaptation evolution strategy

open access: yesInternational Transactions in Operational Research, EarlyView.
Abstract Multi‐restart metaheuristics can be highly effective for complex optimization problems, yet their performance depends critically on how restarts and algorithmic parameters are selected. This paper introduces a reinforcement learning approach for managing restart‐level decisions and parameter configurations in the UES–CMA‐ES hybrid ...
Antonio Bolufé‐Röhler, Bowen Xu
wiley   +1 more source

STATISTICALLY GUIDED ARTIFICIAL BEE COLONY ALGORITHM

open access: yes, 2017
Artificial Bee Colony algorithm is one of the naturally inspired meta heuristic method. As usual, in a meta heuristic method, intuitively appealing way to have better results is extending calculation time or increasing the fitness evaluation count.
Barış KOÇER, KOÇER, Barış
core   +1 more source

STMIIT—Symbol Tags for Massive Insects Identification and Tracking

open access: yes
Insect Science, EarlyView.
Ruigang Wang   +7 more
wiley   +1 more source

Orchid genome evolution and trait innovation

open access: yesJournal of Integrative Plant Biology, EarlyView.
Orchids became one of the world's most diverse plant groups through genome‐driven innovations, unique relationships with fungi and pollinators, and remarkable adaptability. This review explains the origins of orchids and the evolution of their distinctive life forms, flowers, and ecological strategies and highlights promising directions for future ...
Meng‐Yao Zeng   +8 more
wiley   +1 more source

Multi-Objective Process Parameter Optimization for Abrasive Air Jet Machining Using Artificial Bee Colony Algorithm

open access: yesMachines
Abrasive air jet machining is a burgeoning non-traditional machining technology particularly suitable for machining brittle non-metallic materials and metals with high hardness.
Xiaozhi Fan   +3 more
doaj   +1 more source

A novel multi-objective optimization algorithm based on artificial bee colony

open access: yes, 2011
Multi-objective optimization has been a difficult problem and focus for research in fields of science and engineering. This paper presents a novel algorithm based on Artificial Bee Colony (ABC) to deal with multi-objective optimization problems.
Zou WP(邹文平)   +3 more
core  

Erythrocyte ‘Feierzeit’ reaction: Novel filamentous and vesicular response to n‐butyl acetate

open access: yesJournal of Microscopy, EarlyView.
Abstract Human erythrocytes (red blood cells; RBCs) undergo spontaneous disassembly after several hours of exposure to n‐butyl acetate (nBA). Images of the morphological changes were captured in time‐lapse sequences using differential interference contrast (DIC) light microscopy.
Philip W. Kuchel
wiley   +1 more source

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