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An Ensemble of Differential Evolution Algorithms with Variable Neighborhood Search for Constrained Function Optimization
(IEEE, 2016)
In this paper, an ensemble of differential evolution algorithms based on a variable neighborhood search algorithm (EDE-VNS) is proposed so as to solve the constrained real parameter-optimization problems. The performance ...
Effective ensembles of heuristics for scheduling flexible job shop problem with new job insertion
(PERGAMON-ELSEVIER SCIENCE LTD, 2015)
This study investigates the flexible job shop scheduling problem (FJSP) with new job insertion. FJSP with new job insertion includes two phases: initializing schedules and rescheduling after each new job insertion. ...
An effective discrete harmony search algorithm for flexible job shop scheduling problem with fuzzy processing time
(TAYLOR & FRANCIS LTD, 2015)
This study addresses flexible job shop scheduling problem (FJSP) with fuzzy processing time. The fuzzy or uncertainty of processing time is one of seven characteristics in remanufacturing. A discrete harmony search (DHS) ...
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 ...
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 Variable Iterated Greedy Algorithm with Differential Evolution for Solving No-Idle Flowshops
(SPRINGER-VERLAG BERLIN, 2012)
In this paper, we present a variable iterated greedy algorithm where its parameters (basically destruction size and probability of whether or not to apply the iterated greedy algorithm to an individual) are optimized by ...
Solving Fuzzy Job-Shop Scheduling Problem by a Hybrid PSO Algorithm
(SPRINGER-VERLAG BERLIN, 2012)
This paper proposes a hybrid particle swarm optimization (PSO) algorithm for solving the job-shop scheduling problem with fuzzy processing times. The objective is to minimize the maximum fuzzy completion time, i.e., the ...
A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem
(ELSEVIER SCIENCE INC, 2011)
In this paper, a discrete artificial bee colony (DABC) algorithm is proposed to solve the lot-streaming flow shop scheduling problem with the criterion of total weighted earliness and tardiness penalties under both the ...
A discrete artificial bee colony algorithm for the total flowtime minimization in permutation flow shops
(ELSEVIER SCIENCE INC, 2011)
Obtaining an optimal solution for a permutation flowshop scheduling problem with the total flowtime criterion in a reasonable computational timeframe using traditional approaches and optimization tools has been a challenge. ...
Dynamic multi-swarm particle swarm optimizer with harmony search
(PERGAMON-ELSEVIER SCIENCE LTD, 2011)
In this paper, the dynamic multi-swarm particle swarm optimizer (DMS-PSO) is improved by hybridizing it with the harmony search (HS) algorithm and the resulting algorithm is abbreviated as DMS-PSO-HS. We present a novel ...