Search Results - hyper multi-objective evolution algorithm

Dynamic economic emission dispatch of combined heat and power system based on multi-objective differential evolution algorithm by Dong, Tao

“… the use of effective multi-objective optimization algorithms. The research design improves the multi-objective differential evolution algorithm, which is constructed…”
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Multi-objective optimization of the volumetric and thermal efficiencies applied to a multi-cylinder internal combustion engine by Menzel, Germano, Hennings Och, Stephan, Cocco Mariani, Viviana, Mauro Moura, Luís, Domingues, Eric

“…•Non-dominated Sorting Genetic Algorithm II has best results on Spacing metric.•Multi-Objective Differential Evolution has more non-dominated solutions…”
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A hyper-heuristic algorithm via proximal policy optimization for multi-objective truss problems by Yin, Shihong, Xiang, Zhengrong

“…This paper proposes a hyper-heuristic evolutionary algorithm via proximal policy optimization, named HHEA-PPO, for solving multi-objective truss optimization problems…”
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A hyper-heuristic with deep Q-network for the multi-objective unmanned surface vehicles scheduling problem by Xu, Ningjun, Shi, Zhangsong, Yin, Shihong, Xiang, Zhengrong

“…This paper proposes a learning-based hyper-heuristic algorithm for the coverage path planning problem of multiple unmanned surface vehicles (USV…”
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Evaluating the epsilon-domination based multi-objective evolutionary algorithm for a quick computation of Pareto-optimal solutions by Deb, Kalyanmoy, Mohan, Manikanth, Mishra, Shikhar

“… Most multi-objective evolutionary algorithms (MOEAs) developed in the past decade are either good for achieving a well-distributed solutions at the expense of a large…”
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A New Hyper-Heuristic Multi-Objective Optimisation Approach Based on MOEA/D Framework by Han, Jiayi, Watanabe, Shinya

“…A multi-objective evolutionary algorithm based on decomposition (MOEA/D) serves as a robust framework for addressing multi-objective optimization problems (MOPs…”
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A mixture experiments multi-objective hyper-heuristic by Vázquez-Rodríguez, J A, Petrovic, S

“…This paper proposes a hyper-heuristic that combines genetic algorithm with mixture experiments to solve multi-objective optimisation problems…”
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Multi-objective scheduling in hybrid flow shop: Evolutionary algorithms using multi-decoding framework by Yu, Chunlong, Andreotti, Pietro, Semeraro, Quirico

“…•We minimize the total tardiness and total setup time.•Four ad-hoc decoding algorithms are developed for the problem…”
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MODE-CNN: A fast converging multi-objective optimization algorithm for CNN-based models by İni̇k, Özkan, Altıok, Mustafa, Ülker, Erkan, Koçer, Barış

“… Recently, researchers have started using optimization algorithms for the automatic adjustment of the hyper-parameters of CNNs…”
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Diversity-enhanced hyper-heuristics for multi-objective dynamic flexible job shop scheduling by Shi, Yuan, Yang, Yaoming, Li, Bingdong, Qian, Hong, Hao, Hao, Zhou, Aimin

“…In the realm of multi-objective dynamic flexible job shop scheduling (MODFJSS), the prevalent reliance on genetic programming based hyper-heuristics (GPHH…”
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An efficient Q-learning integrated multi-objective hyper-heuristic approach for hybrid flow shop scheduling problems with lot streaming by Chen, Yarong, Du, Jinhao, Mumtaz, Jabir, Zhong, Jingyan, Rauf, Mudassar

“… For multi-objective hyper-heuristic techniques, the algorithm dynamically selects and adapts a diverse set of low-level heuristics to explore the solution space comprehensively and strike…”
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SONG: A Multi-Objective Evolutionary Algorithm for Delay and Energy Aware Facility Location in Vehicular Fog Networks by Hussain, Md. Muzakkir, Azar, Ahmad Taher, Ahmed, Rafeeq, Umar Amin, Syed, Qureshi, Basit, Dinesh Reddy, V., Alam, Irfan, Khan, Zafar Iqbal

“…With the emergence of delay- and energy-critical vehicular applications, forwarding sense-actuate data from vehicles to the cloud became practically…”
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A double-module immune algorithm for multi-objective optimization problems by Liang, Zhengping, Song, Ruizhen, Lin, Qiuzhen, Du, Zhihua, Chen, Jianyong, Ming, Zhong, Yu, Jianping

“…The framework of the proposed algorithm with two evolutionary modules. •A novel multi-objective immune algorithm with double modules is presented…”
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Research on hyper‐level of hyper‐heuristic framework for MOTCP by Guo, Junxia, Wang, Rui, Han, Jinjin, Li, Zheng

“…Heuristic algorithms are widely used to solve multi‐objective test case prioritization (MOTCP) problems…”
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Intelligent mixture design of steel fibre reinforced concrete using a support vector regression and firefly algorithm based multi-objective optimization model by Huang, Yimiao, Zhang, Junfei, Tze Ann, Foo, Ma, Guowei

“…•The strength of SFRC are predicted using FA-SVR;•Multi-objective firefly algorithm is proposed based on the basic firefly algorithm…”
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Analysis of Multi-objective Hyper-Heuristics Under Different Dynamic and Preferential Environments by Macias, Teodoro, Cruz-Reyes, Laura, Dorronsoro, Bernabé, Gómez-Santillán, Claudia

“…The use of hyper-heuristics to solve dynamic multi-objective optimization problems (DMOPs…”
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Multi-objective energy and daylight optimization of amorphous shading devices in buildings by Kirimtat, Ayca, Krejcar, Ondrej, Ekici, Berk, Fatih Tasgetiren, M.

“…•A novel shading design enhanced by multi-objective optimization is presented.•The amorphous shading device reduced total energy consumption of an office room up to 14…”
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Bio-inspired computation: Where we stand and what's next by Del Ser, Javier, Osaba, Eneko, Molina, Daniel, Yang, Xin-She, Salcedo-Sanz, Sancho, Camacho, David, Das, Swagatam, Suganthan, Ponnuthurai N., Coello Coello, Carlos A., Herrera, Francisco

“…In recent years, the research community has witnessed an explosion of literature dealing with the mimicking of behavioral patterns and social phenomena…”
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Reference-point-based multi-objective optimization algorithm with opposition-based voting scheme for multi-label feature selection by Asilian Bidgoli, Azam, Ebrahimpour-Komleh, Hossein, Rahnamayan, Shahryar

“… In order to improve the performance of multi-label classification, a multi-objective feature selection algorithm has been proposed in this paper…”
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Enhancing genetic programming based hyper-heuristics for dynamic multi-objective job shop scheduling problems by Su Nguyen, Mengjie Zhang, Kay Chen Tan

“…Genetic programming based hyper-heuristics have been an suitable approach to designing powerful dispatching rules for dynamic job shop scheduling…”
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