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Future Trends and Current State of Smart City Concepts: A Survey
(IEEE Access, 2020)
Intelligent systems are wanting for cities to cope with limited spaces and resources across the world. As a result, smart cities emerged mainly as a result of highly innovative ICT industries and markets, and additionally, ...
An evolution strategy approach to the team orienteering problem with time windows
(Computers and Industrial Engineering, 2020)
The team orienteering problem with time windows (TOPTW) is a highly constrained NP-hard problem having many practical applications in vehicle routing and production scheduling. The TOPTW is an extended variant of the ...
Multi-zone optimisation of high-rise buildings using artificial intelligence for sustainable metropolises. Part 1: Background, methodology, setup, and machine learning results
(Elsevier, 2021)
Designing high-rise buildings is one of the complex tasks of architecture because it involves interdisciplinary performance aspects in the conceptual phase. The necessity for sustainable high-rise buildings has increased ...
A green scheduling algorithm for the distributed flowshop problem
(Elsevier, 2021)
In recent years, sustainable development and green manufacturing have attracted widespread attention to environmental problems becoming increasingly serious. Meanwhile, affected by the intensification of market competition ...
An Adaptive Iterated Greedy algorithm for distributed mixed no-idle permutation flowshop scheduling problems
(Elsevier, 2021-06)
Distributed flow shop scheduling is a very interesting research topic. This paper studies the distributed permutation flow shop scheduling problem with mixed no-idle constraints, which have important applications in practice. ...
An iterated local search algorithm for distributed assembly permutation flowshop problem
(Chinese Control Conference, CCC, 2020)
Nowadays, the distributed assembly permutation flowshop problem (DAPFSP) has important applications in practice. In this paper, we propose a group iterated local search (gILS) algorithm to solve the problem with total ...
An Iterated Greedy Algorithm for Distributed Blocking Flowshop Problems with Makespan Minimization
(Chinese Control Conference, CCC, 2020)
In this paper, we study a distributed blocking flowshop scheduling problem (DBFSP) that is an extension of the traditional blocking flowshop scheduling problem (BFSP), in which an additional decision of which factory to ...
A New Heuristic for PCBs Grouping Problem with Setup Times
(Chinese Control Conference, CCC, 2020)
In this paper, we present a new heuristic to divide a batch of printed circuit boards (PCBs) into subgroups to save the setup time for loading and unloading components from the assembly machine. In the heuristic, we propose ...
An energy-efficient permutation flowshop scheduling problem
(Expert Systems with Applications, 2020)
The permutation flowshop scheduling problem (PFSP) has been extensively explored in scheduling literature because it has many real-world industrial implementations. In some studies, multiple objectives related to production ...
A discrete event simulation procedure for validating programs of requirements: The case of hospital space planning
(SoftwareX, 2020)
This paper introduces a Discrete-Event Simulation (DES) tool developed as a parametric CAD program for validating a program of requirements (PoR) for hospital space planning. The DES model simulates the procedures of ...