A novel chaotic flower pollination algorithm for function optimization and constrained optimal power flow considering renewable energy sources by Fatima Daqaq, Fatima Daqaq, Mohammed Ouassaid, Salah Kamel, Rachid Ellaia, Rachid Ellaia, Mohamed F. El-Naggar, Mohamed F. El-Naggar

“…The obtained results are analyzed statistically using non-parametric Wilcoxon rank-sum test in view of evaluating their significance compared to the outcomes of the state-of-the-art meta-heuristic algorithms such as ant bee colony (ABC), grasshopper optimization algorithm (GOA), and dragonfly algorithm (DA). …”
Get full text

An Overview of Algorithms for Solving Vehicle Routing Problems in the Quantum-Classical Cloud by Leonid Hulianitskyi, Vyacheslav Korolyov, Oleksandr Khodzinskyi

“…The inaccuracy of the solutions obtained by the QC is a consequence of physical and technological limitations: calculation errors are caused by thermal noise, a small number of computational elements - qubits and connections between them, which requires the decomposition of the problem and the use of heuristic algorithms. The analysis of approaches to the solution of optimization problems on QC allows us to single out: quantum response and variational search of eigenvalues based on quantum logic gates as the general directions of development of the vast majority of algorithms for solving routing problems. …”
Get full text

Optimizing Smart Supply Chain with Vendor Managed Inventory through the Internet of Things by Tahereh Mohammadi, Seyed Mojtaba Sajadi, Seyed Esmaeil Najafi, Mohammadreza Taghizadeh Yazdi

“…However, due to the lack of memory in GAMS software, for large dimensions, the suggested mathematical model for the smart supply chain needs to be checked using MATLAB software and meta-heuristic algorithms.…”
Get full text

Adaptive Chaotic Marine Predators Hill Climbing Algorithm for Large-Scale Design Optimizations by Amin Abdollahi Dehkordi, Bahareh Etaati, Mehdi Neshat, Seyedali Mirjalili

“…Meta-heuristic algorithms have been effectively employed to tackle a wide range of optimisation issues, including structural engineering challenges. …”
Get full text

A bi-objective hybrid vibration damping optimization model for synchronous flow shop scheduling problems by Madjid Tavana, Vahid Hajipour, Mohammad Alaghebandha, Debora Di Caprio

“…Indeed, even though variants of the aforementioned meta-heuristic algorithms have been largely introduced in multi-objective environments, a simultaneous implementation of these algorithms as well as a compared study of their performance when solving flow shop scheduling problems has been so far overlooked.…”
Get full text

Prediction of yard crane operation sequence and vehicle departure times at a yard block in container terminals by Pang, Pangianto

“…With the predicted arrival time and deadlines of jobs which are given by vehicle dispatching subsystem, YC dispatching subsystem will sequence out jobs to be served based on heuristic and optimal algorithms. Heuristic algorithms provides a good estimation to the optimal solution and can give an solution in a short time. …”
Get full text

Development of a multi-objective optimization model for transport and environment in a closed-loop automotive supply chain by Sadrnia, Abdolhossein

“…Therefore, various meta-heuristic algorithms have been tried by researchers. In this research, a new Multi-Objective Logistics Network Model for Automotive Closed-Loop Supply Chain (MOACLSC) for recovering ELVs was developed. …”
Get full text

A robust MPPT approach based on first-order sliding mode for triple-junction photovoltaic power system supplying electric vehicle by Salah Beni Hamed, Aicha Abid, Mouna Ben Hamed, Lassaad Sbita, Mohit Bajaj, Sherif S.M. Ghoneim, Hossam M. Zawbaa, Salah Kamel

“…They have the aim of evaluating the effectiveness and advantages of the SMC algorithm in comparison to those of perturb and observe (P and O) and three meta-heuristic algorithms. The latters are the particle swarm optimization (PSO), flower pollination (FPA) and the cuckoo search algorithm (CSA). …”
Get full text

Optimisation of energy efficient Assembly Sequence Planning using Moth-Flame Optimisation alghorithm by Muhammad Arif, Abdullah

“…The MFO performance was compared with three frequently used meta-heuristics algorithms in ASP, namely Ant Colony Optimisation (ACO), Genetic Algorithm (GA) and Particle Swarm Optimisation (PSO). …”
Get full text

Water Wave Optimization Algorithm-Based Dynamic Optimal Dispatch Considering a Day-Ahead Load Forecasting in a Microgrid by Duy C. Huynh, Loc D. Ho, Hieu M. Pham, Matthew W. Dunnigan, Corina Barbalata

“…A novel strategy is proposed to tackle an optimal dispatch of a microgrid in response to dynamic conditions, utilizing a water wave optimization (WWO) algorithm and considering a day-ahead load forecasting. Amongst meta-heuristic algorithms, the WWO algorithm stands out in terms of population size, parameter tuning, exploitation and exploration, convergence speed, as well as optimization mechanism. …”
Get full text

Mitigating mismatch power loss of series–parallel and total-cross-tied array configurations using novel enhanced heterogeneous hunger games search optimizer by Dalia Yousri, Ehab F. El-Saadany, Yomna Shaker, Thanikanti Sudhakar Babu, Ahmed F. Zobaa, Dalia Allam

“…Moreover, for providing a flexible tool for the user/researcher to detect and observe the benefits achieved via the PV reconfiguration strategy, a simple graphical user interface (GUI) for the PV reconfiguration strategy of TCT or S–P PV connected array using meta-heuristic algorithms is designed. This implemented GUI can extend for any size of PV arrays, different optimization algorithms, and different connection schemes. …”
Get full text

A New Golden Eagle Optimization with Stooping Behaviour for Photovoltaic Maximum Power Tracking under Partial Shading by Zhi-Kai Fan, Kuo-Lung Lian, Jia-Fu Lin

“…To address this issue, meta-heuristic algorithms (MHAs) can be used to perform maximum power point tracking (MPPT) on the system’s multiple-peak P-V curves due to PSCs. …”
Get full text

A New Method of Priority Assignment for Real-Time Flows in the WirelessHART Network by the TDMA Protocol by Yulong Wu, Weizhe Zhang, Hui He, Yawei Liu

“…More importantly, we propose two heuristic algorithms&#8212;a priority assignment algorithm based on the greedy strategy for <i>C</i> (WF-C) and a priority assignment algorithm based on the greedy strategy for <i>U</i>(WF-U)&#8212;for assigning priorities to the flows in each channel, whose time complexity is <inline-formula> <math display="inline"> <semantics> <mrow> <mi>O</mi> <mo stretchy="false">(</mo> <mi>m</mi> <mi>a</mi> <mi>x</mi> <mrow> <mo stretchy="false">(</mo> <mi>N</mi> <mo>&lowast;</mo> <mi>m</mi> <mo>&lowast;</mo> <mi>l</mi> <mi>o</mi> <mi>g</mi> <mrow> <mo stretchy="false">(</mo> <mi>m</mi> <mo stretchy="false">)</mo> </mrow> <mo>,</mo> <msup> <mrow> <mo stretchy="false">(</mo> <mi>N</mi> <mo>&#8722;</mo> <mi>m</mi> <mo stretchy="false">)</mo> </mrow> <mn>2</mn> </msup> <mo stretchy="false">)</mo> </mrow> <mo stretchy="false">)</mo> </mrow> </semantics> </math> </inline-formula>. …”
Get full text

Algorithms for large-scale personalization by Li, Andrew A. (Andrew Andi)

Get full text

Mathematical Techniques of Fractional Order Systems / by Azar, Ahmad Taher, editor 629881, Radwan, Ahmed G., editor 648514, Vaidyanathan, Sundarapandian, editor 648515, ScienceDirect (Online service) 7722

Get full text

A model for the optimization of information process performance in the IoT-based virtual supply chain by Hanieh Shambayati, Mohsen Shafiei nikabadi, Seyed Mohammad Ali Khatami Firouzabadi, Mohammad Rahmanimanesh, Sara Saberi

“…The final programming model has been optimized using meta-heuristic algorithms, the Non-Dominated Sorting Genetic Algorithm II (NSGA-II), and the Strength Pareto Evolutionary Algorithm (SPEA-II).Findings – The results indicated that there is an inverse relationship between virtual supply chain profit and information processing speed (delay). …”
Get full text

Multi-objective optimisation of K-shape notch multi-way spool valve using CFD analysis, discharge area parameter model, and NSGA-II algorithm by Mingkun Yang, Yuhang Zhang, Chao Ai, Guishan Yan, Wenguang Jiang

“…The proposed framework enhances the performance in KSN spool optimisation and could be applied to other kinds of notches.Abbreviations: BOI: Body of influence; BSV: Bucket spool valve; CFD: Computational fluid dynamics; CM: Construction machinery; DAPM: Discharge area parameter model; FARD: Flow area relative deviation; FCC: Flow control characteristic; GSA: Global sensitivity analysis; KSN: K-shape notch; MHAs: Meta-heuristic algorithms; MODE: Multi-objective differential evolution; MOGA: Multi-objective genetic algorithm; MOO: Multi-objective optimisation; MOPSO: Multi-objective particle swarm optimisation; MWSV: Multi-way spool valve; NRMS: Non-road mobile source; NSGA-II: Non-dominated sorting genetic algorithm; OLHD: Optimal Latin hypercube design; PD: Pressure drop; PDCs: Pressure drop characteristics; RSM: Response surface methodology; SA: Sensitivity analysis; TKE: Turbulent kinetic energy; TOPSIS: Technique for order preference by similarity to ideal solution; VFR: Volume flow rate…”
Get full text

A comparison of eight optimization methods applied to a wind farm layout optimization problem by J. J. Thomas, J. J. Thomas, N. F. Baker, P. Malisani, E. Quaeghebeur, S. Sanchez Perez-Moreno, J. Jasa, C. Bay, F. Tilli, D. Bieniek, N. Robinson, A. P. J. Stanley, W. Holt, A. Ning, A. Ning

“…The optimization methods studied represent a wide range of approaches, including gradient-free, gradient-based, and hybrid methods; discrete and continuous problem formulations; single-run and multi-start approaches; and mathematical and heuristic algorithms. We provide descriptions and references (where applicable) for each optimization method, as well as lists of pros and cons, to help readers determine an appropriate method for their use case. …”
Get full text

Modeling a single machine scheduling problem with batch production and the random breakdown and solving it by branch and bound method by Ehsan Molaee, Ramin Sadeghian, Parviz Fattahi

“…Also, considering other modes of machine failures such as scenario-based failures or re-scheduling the jobs to minimize the deviations of the actual schedule from the planned program, situations with more than one machine such as parallel machines, flow shops, and job shops, other objective functions related to scheduling such as maximum completion time or total completion time, as well as the development of other exact, heuristic or meta-heuristic algorithms are suggested as subjects for future study. …”
Get full text

Network protection with service guarantees by Kuperman, Gregory

Get full text