Results 11 to 20 of about 933,480 (358)
Firefly Algorithm, Stochastic Test Functions and Design Optimisation [PDF]
International Journal of Bio-Inspired Computation (IJBIC), 2010 Modern optimisation algorithms are often metaheuristic, and they are very promising in solving NP-hard optimization problems. In this paper, we show how to use the recently developed Firefly Algorithm to solve nonlinear design problems.
Yang, Xin-She
core +3 more sources
Discovered Policy Optimisation [PDF]
Neural Information Processing Systems, 2022 Tremendous progress has been made in reinforcement learning (RL) over the past decade. Most of these advancements came through the continual development of new algorithms, which were designed using a combination of mathematical derivations, intuitions ...
Chris Lu +5 more
semanticscholar +1 more source
Evolutionary Dynamic Multi-objective Optimisation: A Survey
ACM Computing Surveys, 2022 Evolutionary dynamic multi-objective optimisation (EDMO) is a relatively young but rapidly growing area of investigation. EDMO employs evolutionary approaches to handle multi-objective optimisation problems that have time-varying changes in objective ...
Shouyong Jiang +3 more
semanticscholar +1 more source
Set-Based Particle Swarm Optimisation: A Review
Mathematics, 2023 The set-based particle swarm optimisation algorithm is a swarm-based meta-heuristic that has gained popularity in recent years. In contrast to the original particle swarm optimisation algorithm, the set-based particle swarm optimisation algorithm is used
Jean-Pierre van Zyl, A. Engelbrecht
semanticscholar +1 more source
Multi-objective robust optimisation model for MDVRPLS in refined oil distribution
International Journal of Production Research, 2021 At depots with refined oil shortage, arranging a reasonable distribution scheme with limited supply affects operation costs, demand satisfaction rate of gasoline stations (hereafter, ‘station satisfaction’), and overtime penalty. This study considers the
Xiaofeng Xu +4 more
semanticscholar +1 more source
Sustainability, 2022 This study aimed to conduct a techno-economic performance and optimisation analysis of grid-connected PV, wind turbines, and battery packs for Syiah Kuala University, situated at the tip of Sumatra island in the tsunami-affected region.
T. Riayatsyah +4 more
semanticscholar +1 more source
Engineering optimisation by cuckoo search [PDF]
Int. J. Math. Model. Numer. Optimisation, 2010 A new metaheuristic optimisation algorithm, called Cuckoo Search (CS), was developed recently by Yang and Deb (2009). This paper presents a more extensive comparison study using some standard test functions and newly designed stochastic test functions ...
Xin-She Yang, S. Deb
semanticscholar +1 more source
A Review of Topology Optimisation for Fluid-Based Problems
Fluids, 2020 This review paper provides an overview of the literature for topology optimisation of fluid-based problems, starting with the seminal works on the subject and ending with a snapshot of the state of the art of this rapidly developing field.
Joe Alexandersen, C. S. Andreasen
semanticscholar +1 more source
Long-term ex situ normothermic perfusion of human split livers for more than 1 week
Nature Communications, 2023 Current machine perfusion technology permits livers to be preserved ex situ for short periods to assess viability prior to transplant. Long-term normothermic perfusion of livers is an emerging field with tremendous potential for the assessment, recovery,
Ngee-Soon Lau +16 more
doaj +1 more source
Energy-Efficient Machining Process Analysis and Optimisation Based on BS EN24T Alloy Steel as Case Studies [PDF]
, 2019 Computer Numerical Controlled (CNC) machining, which is one of the most widely-deployed manufacturing techniques, is an energy-intensive process.
Caires Moreira, Lorena +3 more
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