Results 81 to 90 of about 65,077 (195)
Adaptive Multiswarm Comprehensive Learning Particle Swarm Optimization
Information, 2018 Multiswarm comprehensive learning particle swarm optimization (MSCLPSO) is a multiobjective metaheuristic recently proposed by the authors. MSCLPSO uses multiple swarms of particles and externally stores elitists that are nondominated solutions found so ...
Xiang Yu, Claudio Estevez
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Hyper-volume evolutionary algorithm [PDF]
, 2016 We propose a multi-objective evolutionary algorithm (MOEA), named the Hyper-volume Evolutionary Algorithm (HVEA). The algorithm is characterised by three components.
Landa-Silva, Dario, Le, Khoi Nguyen
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Learning the Pareto Front with Hypernetworks
, 2020 Accepted to ICLR ...
Navon, Aviv +3 more
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PLoS ONEBi-objective optimization problems arise when a process needs to be optimized with respect to two conflicting objectives. Solving such problems produces a set of points called the Pareto front, where no objective can be improved without worsening at ...
Ihab Hashem +3 more
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Advances in Mechanical Engineering, 2016 Real-time traffic control is very important for urban transportation systems. Due to conflicts among different optimization objectives, the existing multi-objective models often convert into single-objective problems through weighted sum method.
Pengpeng Jiao, Ruimin Li, Zhihong Li
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, 2011 ISBN 978-1-4471-2206-7Reliability-based design, operation and maintenance of multi-state systems lead to multiobjective (multicriteria) optimization problems whose solutions are represented in terms of Pareto Fronts and Sets.
Bazzo, R., Zio, Enrico
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Multi-disciplinary shape optimization of an entry capsule integrated with custom neural network approximation and multi-delity approach [PDF]
, 2011 This paper describes a new integrated approach for the multi-disciplinary optimization of a entry capsule’s shape. Aerothermodynamics, Flight Mechanics and Thermal Protection System behaviour of a reference spaceship when crossing Martian atmosphere are ...
Cavallero, Claudio +6 more
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Computing the Complete Pareto Front
, 2015 We give an efficient algorithm to enumerate all elements of a Pareto front in a multi-objective optimization problem in which the space of values is finite for all objectives. Our algorithm uses a feasibility check for a search space element as an oracle and minimizes the number of oracle calls that are necessary to identify the Pareto front of the ...
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Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization
2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)Pareto set learning (PSL) is an emerging approach for acquiring the complete Pareto set of a multi-objective optimization problem. Existing methods primarily rely on the mapping of preference vectors in the objective space to Pareto optimal solutions in the decision space.
Ye, Rongguang +4 more
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Prioritization of stockpile maintenance with layered Pareto fronts
Quality Engineering, 2017 Difficult choices are required for a decision-making process where resources and budgets are increasingly constrained. This paper demonstrates a structured decision-making approach using layered Pareto fronts to identify priorities about how to allocate funds between munitions stockpiles based on their estimated reliability, the urgency of needing ...
Burke, Sarah E. +3 more
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