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Now showing items 1-13 of 13
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A computational intelligence decision-support environment for architectural and building design: CIDEA
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016)Environmentally friendly and comfortable buildings are a much sought after goal in today's architectural practice. In order to improve energy consumption of buildings without sacrificing indoor comfort, careful consideration ... -
A discrete artificial bee colony algorithm for the permutation flowshop scheduling problem with sequence-dependent setup times
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016)A discrete artificial bee colony (DABC) algorithm for the permutation flowshop scheduling problem with sequence-dependent setup times (PFSP-SDST) is presented in this paper. PFSP-SDST is an important problem that has ... -
A memetic algorithm with a variable block insertion heuristic for single machine total weighted tardiness problem with sequence dependent setup times
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016)In this paper, a memetic algorithm with a variable block insertion heuristic is presented to solve the single machine total weighted tardiness problem with sequence dependent setup times. Together with the traditional ... -
A multi-objective self-adaptive differential evolution algorithm for conceptual high-rise building design
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016)This paper presents a multi-objective self-adaptive differential evolution algorithm to solve the form-finding problem of high-rise building design in the conceptual phase. The aim of the research is to reach suitable ... -
An ensemble of differential evolution algorithms with variable neighborhood search for constrained function optimization
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 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 ... -
Effects of varying input and output points on new aisle designs in warehouses
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016)New aisle designs have been proposed for unit-load warehouses recently in the literature. Most of these designs propose reduction in single-command expected travel distance considering flow from only one input/output (IO) ... -
Impacts of problem scale and sampling strategy on surrogate model accuracy: An application of surrogate-based optimization in building design
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016)Surrogate-based Optimization is a useful approach when the objective function is computationally expensive to evaluate, compared to Simulation-based Optimization. In the surrogate-based method, analytically tractable ... -
Interior spatial layout with soft objectives using evolutionary computation
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016)This paper presents the design problem of furniture arrangement in a residential interior living space, and addresses it by means of evolutionary computation. Interior arrangement is an important and interesting problem ... -
Multi-objective harmony search algorithm for layout design in theatre hall acoustics
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 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
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 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 ... -
Multi-objective optimization through differential evolution for restaurant design
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016)This paper presents the results obtained by NSGA-II and jDEMO on a restaurant design optimization in the conceptual phase. A multi-objective problem is formulated by considering the minimization of investment and the ... -
Optimizing natural ventilation strategy in existing buildings using differential evolution: Case of architectural studio classrooms
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016)Natural ventilation plays a vital role towards provision of healthy indoor environment condition for occupants in a building. Yet, particularly in winter, providing sufficient level of fresh air to indoor environment causes ... -
Optimizing wall insulation material parameters in renovation projects using NSGA-II
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016)Renovation works introduce numerous complexities that can only be addressed by those who excel in this specific design task. Such issues as energy consumption, which requires examination of excessive alternatives, is not ...