Results 11 to 20 of about 10,517,802 (309)

Evaluation of sequential, multi-objective, and parallel interactive genetic algorithms for multi-objective optimization problems. [PDF]

open access: yes, 2006
We propose a sequential interactive genetic algorithm (IGA), multi-objective IGA and parallel IGA, and evaluate them with both simulated and real users.
Tiwari, Ashutosh   +3 more
core   +8 more sources

Integrated qualitativeness in design by multi-objective optimization and interactive evolutionary computation. [PDF]

open access: yes, 2005
- The concept of qualitativeness in design is an important one, and needs to be incorporated in the optimization process for a number of reasons outlined in this paper.
Ramsden, Jeremy   +4 more
core   +7 more sources

PSO vs GA: A Comparative Study of Multi-Objective Reliability Optimization using Fuzzy Nonlinear Programming Functions

open access: yesWasit Journal for Pure Sciences, 2023
— Multi-objective reliability optimization is a complex problem that involves simultaneously optimizing multiple objectives while ensuring that the system meets certain reliability requirements.
Ahmed Abdulhussein Jabbar   +1 more
doaj   +1 more source

An Overview of Few Nature Inspired Optimization Techniques and Its Reliability Applications [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences, 2020
Optimization has been a hot topic due to its inevitably in the development of new algorithms in almost every applied branch of Mathematics. Despite the broadness of optimization techniques in research fields, there is always an open scope of further ...
Nitin Uniyal, Sangeeta Pant, Anuj Kumar
doaj   +1 more source

Multi-objective Grasshopper Optimization Algorithm based Reconfiguration of Distribution Networks [PDF]

open access: yesJournal of Operation and Automation in Power Engineering, 2019
Network reconfiguration is a nonlinear optimization procedure which calculates a radial structure to optimize the power losses and improve the network reliability index while meeting practical constraints.
M.A. Tavakoli Ghazi Jahani   +3 more
doaj   +1 more source

Hybrid behavioural-based multi-objective space trajectory optimization [PDF]

open access: yes, 2009
In this chapter we present a hybridization of a stochastic based search approach for multi-objective optimization with a deterministic domain decomposition of the solution space.
Vasile, Massimiliano
core   +5 more sources

Grid Feature-Based Weighted Simulation Method for Multi-Objective Reliability-Based Design Optimization

open access: yesInternational Journal of Computational Intelligence Systems, 2022
Reliability analysis and reliability-based design have attracted huge attention since their origin, especially in the engineering design optimization field. Integrating a novel grid feature (GF) mechanism into the weighted simulation method (WSM), a grid
Hao Chen   +4 more
doaj   +1 more source

Multi-objective Reliability Optimization Design of Planetary Transmission Cutter Mechanism

open access: yesJournal of Physics, Conference Series, 2021
Traditional planetary cutter mechanism design needs repeated trial and verification to determine a design scheme that meets the given conditions, and the scheme is generally not the best; The conventional single objective optimization design usually only
Hui-Peng Zhang
semanticscholar   +1 more source

Multi-agent collaborative search : an agent-based memetic multi-objective optimization algorithm applied to space trajectory design [PDF]

open access: yes, 2011
This article presents an algorithm for multi-objective optimization that blends together a number of heuristics. A population of agents combines heuristics that aim at exploring the search space both globally and in a neighbourhood of each agent.
Vasile, M.   +3 more
core   +4 more sources

Multi-objective topology optimization design of truss structures based on evidence theory under limited information

open access: yesXibei Gongye Daxue Xuebao, 2023
Uncertainty information is often limited and has great discreteness, how to ensure the structure having good robustness under epistemic uncertainty becomes a technical problem for multi-objective topology optimization design.
SU Yu, TANG Hesheng
doaj   +1 more source

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