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Toplam kayıt 162, listelenen: 121-130
Metaheuristic algorithms for the hybrid flowshop scheduling problem
(Computers and Operations Research, 2019)
The hybrid flowshop scheduling problem (HFSP) has been widely studied in the literature, as it has many real-life applications in industry. Even though many solution approaches have been presented for the HFSP with makespan ...
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 variable block insertion heuristic for solving permutation flow shop scheduling problem with makespan criterion
(Algorithms, 2019)
In this paper, we propose a variable block insertion heuristic (VBIH) algorithm to solve the permutation flow shop scheduling problem (PFSP). The VBIH algorithm removes a block of jobs from the current solution. It applies ...
A memetic algorithm for the bi-objective quadratic assignment problem
(Procedia Manufacturing, 2019)
Recently, multi-objective evolutionary algorithms (MOEAs) have been extensively used to solve multi-objective optimization problems (MOPs) since they have the ability to approximate a set of non-dominated solutions in ...
A discrete artificial bee colony algorithm for the energy-efficient no-wait flowshop scheduling problem
(Procedia Manufacturing, 2019)
No-wait permutation flow shop scheduling problem (NWPFSP) is a variant of permutation flow shop scheduling problem (PFSP), where the processing of each job must be continuous from start to end without any interruption. ...
A Variable Iterated Local Search Algorithm for Energy-Efficient No-idle Flowshop Scheduling Problem
(Procedia Manufacturing, 2019)
No-idle permutation flowshop scheduling problem (NIPFSP) is a well-known NP-hard problem, in which each machine must perform the jobs consecutively without any idle time. Even though various algorithms have been proposed ...
A General Variable Neighborhood Search Algorithm for the No-Idle Permutation Flowshop Scheduling Problem
(SPRINGER-VERLAG BERLIN, 2013)
In this study, a general variable neighborhood search (GVNS) is presented to solve no-idle permutation flowshop scheduling problem (NIPFS), where idle times are not allowed on machines. GVNS is a metaheuristic, where inner ...
A Populated Iterated Greedy Algorithm with Inver-Over Operator for Traveling Salesman Problem
(SPRINGER-VERLAG BERLIN, 2013)
In this study, we propose a populated iterated greedy algorithm with an Inver-Over operator to solve the traveling salesman problem. The iterated greedy (IG) algorithm is mainly based on the central procedures of destruction ...
Metaheuristic Algorithms for the Quadratic Assignment Problem
(IEEE, 2013)
This paper presents two meta-heuristic algorithms to solve the quadratic assignment problem. The iterated greedy algorithm has two main components, hich are destruction and construction procedures. The algorithm starts ...
A Dynamic Berth Allocation Problem with Priority Considerations under Stochastic Nature
(SPRINGER-VERLAG BERLIN, 2012)
Stochastic nature of vessel arrivals and handling times adds to the complexity of the well-known NP-hard berth allocation problem. To aid real decision-making under customer differentiations, a dynamic stochastic model ...