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1
Hybrid multi-objective optimization methods for in silico biochemical system production
Published 2016“…This study aims to design and develop an optimization method that efciently and effectively maximizes the biochemical system production and minimizes the total component concentrations involved simultaneously. …”
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2
Development of an augmented reality based facility layout planning and optimization / Tan Chee Hau
Published 2020“…This research is useful for production line which requires flexibility and agility. The developed AR-based FLP software is fast and effective. …”
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3
Real-time Cascading Reservoirs Operation using the Genetic Algorithm and Seasonally Varied Models
Published 2013“…Accordingly, the study aimed to improve the hydroelectric power generation of the scheme. The genetic algorithm and the seasonally varied models have been developed to maximize the annual hydroelectric power generation of the Perak cascading reservoir. …”
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4
Improving utility accrual scheduling algorithm for adaptive real-time system
Published 2008“…Both of these algorithms are developed for adaptive real-time system environment where untoward effects such as deadline misses and overloads are tolerable. …”
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5
Development of a Bioinspired optimization algorithm for the automatic generation of multiple distinct behaviors in simulated mobile robots
Published 2006“…Results showed that robot controllers could be successfully developed using the POE-MOEA algorithm. The generated robot controllers allowed the robots to move towards to the light source even the simulation and testing environments are noticeably different.…”
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6
Improving the efficiency of thermoelectric generator using perturb and observe MPPT algorithm
Published 2024“…The results demonstrate that the P&O algorithm effective increases the efficiency of MPPT in TEG systems. …”
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7
Delay and energy-aware routing for efficient data collection in wireless sensor networks / Ihsan Ali
Published 2024“…The main objectives are to identify optimally reliable nodes and perform effective data scheduling in WSNs, thereby maximizing throughput, minimizing energy consumption, and reducing end-to-end delay. …”
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8
Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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9
Iteration strategy and ts effect towards the performance of population based metaheuristics
Published 2020“…A researcher developing a new population-based algorithm need to identify the best strategy so that the performance of the algorithm proposed is maximized.…”
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10
Coverage and connectivity maximization for wireless sensor networks using improved chaotic grey wolf optimization
Published 2025“…These metrics emphasize the effectiveness of ICGWO in maximizing network coverage and connectivity. …”
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11
The design and applications of the african buffalo algorithm for general optimization problems
Published 2017“…There have been several scientific investigations in the past several decades on discovering effective and efficient algorithms to providing solutions to the optimization needs of mankind leading to the development of deterministic algorithms that provide exact solutions to optimization problems. …”
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12
Influence maximisation towards target users and minimal diffusion of information based on information needs
Published 2020“…IDTU was developed on greedy approach by using graph sketches to improve the selection of influencers that maximize influence spread to a set of target users. …”
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13
Enhance efficiency of answering XML keyword query using incompact structure of MCCTree
Published 2012“…Compact Lowest Common Ancestor (CLCA) and Maximal Compact Lowest Common Ancestor (MCLCA) implemented in algorithms named CGTreeGenerator and MCCTreeGenerator has been proven in returning an accurate result in answering XML keyword query. …”
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14
A critical review of silicon valley solutions for smartphone addiction / Fatemeh Rezaee and Annie Pedret
Published 2018“…Attention engineers at Facebook and Google continue to develop effective algorithms and designs that target a weakness in the human brain to keep users hooked to their devices, even when it is detrimental to their well-being. …”
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15
Simulation analysis for maximizing renewable solar energy to improve the power generation capacity in the state of Kuwait
Published 2018“…This simulation covers the analysis of power generated by the PV system as an input passing through a selected maximum power point tracker (MPPT) to achieve the maximum energy output. A control algorithm for power regulation has been developed with maximum power generation of enhanced AC power grid with power factor close to unity. …”
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Optimization of fuzzy rules design using genetic algorithm
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17
Managing risk in production scheduling under uncertain disruption
Published 2015“…We have first solved JSPs using an improved memetic algorithm and extended the algorithm to deal with the disruption situations, and then developed a simulation model to analyze the risk of using a job order and delivery scenario. …”
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18
Stochastic process and tutorial of the African buffalo optimization
Published 2022“…Finally, benchmarking the good experimental output of the ABO with those of the popular, highly effective and efficient Cuckoo Search and Flower Pollination Algorithm underscores the ABO as a worthy contribution to the existing body of population-based optimization algorithms…”
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19
Multi leader particle swarm optimization for optimal placement and sizing of multiple distributed generation for a micro grid
Published 2023“…A comprehensive analysis was performed on a developed system in order to demonstrate the effect of a single and multitude of DGs on active power loss and the variation of the voltage profile. …”
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Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm
Published 2016“…The main objective of this paper is to obtain the optimum parameters through which the CAES GT cycle can be designed effectively. The cost-benefit function as a target function has been maximized using the Genetic Algorithm. …”
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