Hyper-heuristics: A survey of the state of the art
Hyper-heuristics comprise a set of approaches that are motivated (at least in part) by the
goal of automating the design of heuristic methods to solve hard computational search …
goal of automating the design of heuristic methods to solve hard computational search …
Operational research models applied to the fresh fruit supply chain
WE Soto-Silva, E Nadal-Roig… - European Journal of …, 2016 - Elsevier
The fresh fruit supply chain is characterized by long supply lead times combined with
significant supply and demand uncertainties, and relatively thin margins. These challenges …
significant supply and demand uncertainties, and relatively thin margins. These challenges …
A classification of hyper-heuristic approaches: revisited
Hyper-heuristics comprise a set of approaches that aim to automate the development of
computational search methodologies. This chapter overviews previous categorisations of …
computational search methodologies. This chapter overviews previous categorisations of …
A classification of hyper-heuristic approaches
The current state of the art in hyper-heuristic research comprises a set of approaches that
share the common goal of automating the design and adaptation of heuristic methods to …
share the common goal of automating the design and adaptation of heuristic methods to …
An EOQ model for perishable goods with age-dependent demand rate
We study the inventory management decisions of a retailer selling a single perishable good
in a deterministic setting. We take into account consumers' assessment of quality over the …
in a deterministic setting. We take into account consumers' assessment of quality over the …
Addressing a set of meta-heuristics to solve a multi-objective model for closed-loop citrus supply chain considering CO2 emissions
Nowadays, the agricultural supply chain as one of the key fields of food production is
considered which has recently attracted much attention from researchers. This paper …
considered which has recently attracted much attention from researchers. This paper …
Optimising integrated inventory policy for perishable items in a multi-stage supply chain
The value of perishable products is most affected by the time delays in a supply chain. A
major issue is how to integrate the existing practices in production, inventory holding and …
major issue is how to integrate the existing practices in production, inventory holding and …
World Hyper-Heuristic: A novel reinforcement learning approach for dynamic exploration and exploitation
In the real world, there are many complex problems in engineering. Every problem has a
level of computational complexity, starting from simple problems and reaching NP-hard …
level of computational complexity, starting from simple problems and reaching NP-hard …
Mathematical programming models for fresh fruit supply chain optimization: a review of the literature and emerging trends
The fresh fruit agricultural and distribution sector is faced with risks and uncertainties from
climate change, water scarcity, land-use increase for industrial and urban development …
climate change, water scarcity, land-use increase for industrial and urban development …
Green location routing problem with flexible multi-compartment for source-separated waste: A Q-learning and multi-strategy-based hyper-heuristic algorithm
C Shang, L Ma, Y Liu - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
In this paper, we extend a novel model for source-separated waste collection and
transportation, the green location routing problem with multi-compartment (GLRPFMC), for …
transportation, the green location routing problem with multi-compartment (GLRPFMC), for …