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An ensemble of differential evolution algorithms for constrained function optimization
(2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010, 2010)
This paper presents an ensemble of differential evolution algorithms employing the variable parameter search and two distinct mutation strategies in the ensemble to solve real-parameter constrained optimization problems. ...
A self-adaptive global best harmony search algorithm for continuous optimization problems
(Applied Mathematics and Computation, 2010)
This paper presents a self-adaptive global best harmony search (SGHS) algorithm for solving continuous optimization problems. In the proposed SGHS algorithm, a new improvisation scheme is developed so that the good information ...
A local-best harmony search algorithm with dynamic subpopulations
(Engineering Optimization, 2010)
This article presents a local-best harmony search algorithm with dynamic subpopulations (DLHS) for solving the bound-constrained continuous optimization problems. Unlike existing harmony search algorithms, the DLHS algorithm ...
An ensemble of discrete differential evolution algorithms for solving the generalized traveling salesman problem
(Applied Mathematics and Computation, 2010)
In this paper, an ensemble of discrete differential evolution algorithms with parallel populations is presented. In a single populated discrete differential evolution (DDE) algorithm, the destruction and construction (DC) ...
Iterated greedy algorithms for the blocking flowshop scheduling problem with makespan criterion
(PERGAMON-ELSEVIER SCIENCE LTD, 2017)
Recently, iterated greedy algorithms have been successfully applied to solve a variety of combinatorial optimization problems. This paper presents iterated greedy algorithms for solving the blocking flowshop scheduling ...
Artificial bee colony algorithm for scheduling and rescheduling fuzzy flexible job shop problem with new job insertion
(ELSEVIER SCIENCE BV, 2016)
This study addresses flexible job shop scheduling problem (FJSP) with two constraints, namely fuzzy processing time and new job insertion. The uncertainty of processing time and new job insertion are two scheduling related ...
Multi-Objective Harmony Search Algorithm for Layout Design in Theatre Hall Acoustics
(IEEE, 2016)
The aim of the research is to find a feasible set of theatre hall design alternatives for two objectives, which are the total cost and the reverberation time, subject to several constraints. We formulate the problem as a ...
Multi-Objective Optimization For Shading Devices in Buildings By Using Evolutionary Algorithms
(IEEE, 2016)
The reduction of energy consumption is a major challenge around the world. Architectural aspects have a significant place to minimize energy consumption to the maximum level. The use of large glazed facades causes overheating ...
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. ...
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