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1
Comparison Between Linear Programming And Integer Linear Programming: A Review
Published 2018“…For ILP, available algorithms can be classified into exact algorithms and heuristic algorithms. …”
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Tolerable Constructive Graph-Based Hyper-Heuristic Algorithm For Examination Timetabling
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A new meta heuristic evolutionary programming (NMEP) in optimizing economic energy dispatch
Published 2016“…The proposed optimization algorithm, namely New Meta-Heuristic Evolutionary Programming (NMEP) algorithm is followed to Meta-Heuristic Evolutionary Programming (Meta-EP) approach with some modification where the cloning process embedded as a significant progress during the implementation. …”
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Optimizing the placement of fire department in Kulim using greedy heuristic and simplex method / Muhammad Abu Syah Mohd Suzaly
Published 2023“…The first method is greedy heuristic method. Greedy heuristics is a type of optimization algorithm that makes decisions based on locally optimal solutions. …”
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REDUCING LATENCY IN A VIRTUAL REALITY-BASED TRAINING APPLICATION
Published 2006“…The heuristic-based predictor provides a platform to utilize the heuristic power of human along with the algorithmic power, geometry accuracy of motion-planning programs and biomechanical laws of human. …”
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Local search heuristics for elective surgery scheduling considering patient urgency
Published 2019“…To test the efficiency of our proposed heuristics, we compare the solutions of integer linear programming model with the heuristics. …”
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Development of two matheuristics for production-inventory-distribution routing problem / Dicky Lim Teik Kyee
Published 2018“…We propose an optimization algorithm designed by the interpolation of metaheuristics and mathematical programming techniques, known as MatHeuristics algorithm, to solve the model. …”
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Heuristic approach to solution of unit commitment for electrical system / Azizan Harun
Published 1996“…This program applies the heuristic approach, formulated and coded in Turbo C.…”
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Student Project -
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A heuristics approach for classroom scheduling using genetic algorithm technique
Published 2017“…Genetic Algorithm through Java programming languages were used in this study and aims at reducing the conflicts and optimizes the fitness. …”
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Breaking A Playfair Cipher Using Single and Multipoints Crossover Based on Heuristic Algorithms
Published 2023Conference Paper -
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An Environmentally Energy Dispatch Using New Meta Heuristic Evolutionary Programming
Published 2018“…Basically,one important issue in the power system network is to provide the optimal Economic Load Dispatch (ELD) solution in order to guarantee the sustainable consumer load demand.However,today ELD solution is essential to include together with the environmental aspect and known as Environmental Economic Load Dispatch (EELD).For that reason, many researchers continue in the development of new simulation tool specifically to overcome the EELD problems.Therefore,this study prepared an improved hybrid metaheuristic technique named as New Meta Heuristic Evolutionary Programming (NMEP) to provide the best possible solution in solving the identified single objective and multi objective functions for EELD solution.This new technique a merging cloning strategy that involved in an Artificial Immune System (AIS) algorithm into algorithm of Meta Heuristic Evolutionary Programming (Meta-EP).The development of NMEP technique is to minimize total cost,reduce the total emission during generator operation through the common formula in EELD and lowest total system loss.Besides that,all mentioned objective functions were also optimized together simultaneously that formulated using the weighted sum method before had been executed on the multi objective NMEP or called MONMEP.Both individual and multi objective NMEP techniques performance were verified among other two common heuristic methods known as AIS and Meta-EP techniques.In addition,the best possible solution defined using the aggregate function method.Through this method,the selection of the best MOEELD solution became effortless as compared with MO individually that required compare two or more objective function in one time manually.Among those three optimization techniques the lowest total aggregate values mostly resulted via the NMEP technique.Based upon that,the proposed technique is proving as the outstanding method compared with Meta-EP and AIS techniques in solving the EELD problem for both standard IEEE 26 bus and 57 bus systems.…”
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A genetic algorithm for solving single level lotsizing problems
Published 2003“…In our implementation, a lot-sizing population-generating heuristic is used to feed chromosomes to a genetic algorithm with operators specially designed for lot-sizing problems. …”
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Review on Dam and Reservoir Optimal Operation for Irrigation and Hydropower Energy Generation Utilizing Meta-Heuristic Algorithms
Published 2023“…Biomimetics; Computational efficiency; Dams; Electric load dispatching; Heuristic algorithms; Heuristic methods; Hydroelectric power; Hydroelectric power plants; Irrigation; Mathematical programming; Scheduling; Structural design; Water distribution systems; Water resources; Water supply; Application problems; Hydro-power generation; Meta heuristic algorithm; Non-differentiability; Problem formulation; Reservoir optimal operation; Reservoir optimizations; Scientific discipline; Reservoirs (water)…”
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Review on Dam and Reservoir Optimal Operation for Irrigation and Hydropower Energy Generation Utilizing Meta-Heuristic Algorithms
Published 2023“…Biomimetics; Computational efficiency; Dams; Electric load dispatching; Heuristic algorithms; Heuristic methods; Hydroelectric power; Hydroelectric power plants; Irrigation; Mathematical programming; Scheduling; Structural design; Water distribution systems; Water resources; Water supply; Application problems; Hydro-power generation; Meta heuristic algorithm; Non-differentiability; Problem formulation; Reservoir optimal operation; Reservoir optimizations; Scientific discipline; Reservoirs (water)…”
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Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem
Published 2008“…Based on the proposed heuristic method, we developed a program to optimize the routing problem using the Visual Studio C++ 6.0 programming language.…”
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Monograph -
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An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications.
Published 2020“…Hyper-heuristic is a new methodology for the adaptive hybridization of meta-heuristic algorithms to derive a general algorithm for solving optimization problems. …”
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RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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Final Year Project -
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Scripting language framework in solving Facility Layout Problem (FLP) based on meta-heuristics hybridization / Suraya Masrom … [et al.]
Published 2018“…Users may rely on computerized facility layout, but when involves with dynamic factors, a great deal of technical hurdles appears mainly in the computer programming. Therefore, this research proposes an easy programming approach to solve facility layout problem with meta-heuristics algorithm in a scripting language software framework. …”
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