Dynamic decomposition and hyper-distance based many-objective evolutionary algorithm by Xujian Wang, Fenggan Zhang, Minli Yao

“…Abstract Nowadays many algorithms have appeared to solve many-objective optimization problems (MaOPs), yet the balance between convergence and diversity is still an open issue. …”
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Optimization of Multi-Energy Grid Integration and Energy Storage in Low-Carbon Power Systems Based on the TCM-MBZOA Algorithm: A Case Study of Yunnan Province by Yang Li, Guoen Zhou, Jiaqi Xue, Junwei Yang, Shi Yin

“…To address this limitation, this paper proposes a multi-source coordinated optimization strategy based on a bi-level programming model and an improved tent chaotic mapping-memory backtracking zebra optimization algorithm (TCM-MBZOA). …”
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Comparative performance evaluation of economic load dispatch using metaheuristic techniques: A practical case study for Bangladesh by Sumaiya Janefar, Prangon Chowdhury, Rahbaar Yeassin, Mahmudul Hasan, Nahid-Ur-Rahman Chowdhury

“…The Economic Load Dispatch (ELD) problem is a critical optimization challenge in power systems, aiming to minimize operational costs while meeting power demand. …”
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Optimizing power network expansion with pumped hydro energy storage using a multi-objective enhanced spider wasp optimizer approach by Mohamed M. Refaat, Saad F. Al-Gahtani, Hussain Bassi, Ziad M. Ali, Shady H. E. Abdel Aleem

“…The problem is framed as a comprehensive multi-objective optimization model designed to minimize the cost of network expansion while maximizing the benefits of integrating various PHES technologies. …”
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Improved Pacific Decadal Oscillation Prediction by an Optimizing Model Combined Bidirectional Long Short-Term Memory and Multiple Modal Decomposition by Hang Yu, Junbo Lei, Pengfei Lin, Tao Zhang, Hailong Liu, Huilin Lai, Lindong Lai, Bowen Zhao, Bo Wu

“…This study develops a BiLSTM-WOA-MMD (BWM) model, which integrates a bidirectional long short-term memory network with a whale optimization algorithm (WOA) and multiple modal decomposition (MMD), to forecast PDO at both interannual and decadal time scales. …”
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An Improved Marriage in Honey-Bee Optimization Algorithm for Minimizing Earliness/Tardiness Penalties in Single-Machine Scheduling with a Restrictive Common Due Date by Pedro Palominos, Mauricio Mazo, Guillermo Fuertes, Miguel Alfaro

“…This study evaluates the efficiency of a swarm intelligence algorithm called marriage in honey-bee optimization (MBO) in solving the single-machine weighted earliness/tardiness problem, a type of NP-hard combinatorial optimization problem. …”
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Masked face image segmentation using a multilevel threshold with a hybrid fitness function by Nada AbdElFattah Ibrahim, Ehab R. Mohamed, Hanaa M. Hamza, Yousef S. Alsahafi, Khalid M. Hosny

“…This algorithm achieved promising results in several optimization tasks, such as masked face segmentation. …”
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Building Energy Optimization Using an Improved Exponential Distribution Optimizer Based on Golden Sine Strategy Minimizing Energy Consumption Under Uncertainty by Mohammad Ali Karbasforoushha, Mohammad Khajehzadeh, Suraparb Keawsawasvong, Lapyote Prasittisopin, Thira Jearsiripongkul

“…In this study, a new improved meta-heuristic algorithm is proposed for solving the energy building optimization (EBO) and also hybrid energy systems optimization considering uncertainty of conditioned surface area subjected to temperature control for BEO and renewable power and load uncertainties for hybrid system. …”
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Exploring Advanced Methodologies for Hybrid Energy System Sizing through Artificial Intelligence Techniques: a comprehensive review by Walid Bensalmi, Ahmed Belhani, Abdellatif Bouzid-Daho

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MaOSSA: A new high-efficiency many-objective salp swarm algorithm with information feedback mechanism for industrial engineering problems by Mohammad Aljaidi, Janjhyam Venkata Naga Ramesh, Ajmeera Kiran, Pradeep Jangir, Arpita, Sundaram B. Pandya, Wulfran Fendzi Mbasso, Laith Abualigah, Ali Fayez Alkoradees, Mohammad Khishe

“…The pursuit of convergence in multi-objective optimization usually results in population clustering that produces suboptimal outcomes for both convergence and diversity performance. …”
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Optimizing renewable energy-based plug-in hybrid electric vehicle charging stations for sustainable transportation in India by Anandan P, Siow Chun Lim, Anbuselvan N

“…To address these challenges, the study employs meta-heuristic optimization algorithms and optimizes forecasting around sustainable energy systems to achieve desired output. …”
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Optimization Configuration of Electric–Hydrogen Hybrid Energy Storage System Considering Power Grid Voltage Stability by Yunfei Xu, Yiqiong He, Hongyang Liu, Heran Kang, Jie Chen, Wei Yue, Wencong Xiao, Zhenning Pan

“…This model, applied to the IEEE-33 standard test system, utilizes the Multi-Objective Artificial Hummingbird Algorithm (MOAHA) to optimize the capacity and location of the electric–hydrogen hybrid energy storage system. …”
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A novel transcendental metaphor metaheuristic algorithm based on power method by Huiying Zhang, Hanshuo Wu, Yifei Gong, Xiao Pan, Qipeng Zhong

“…Abstract This paper proposes a novel metaheuristic algorithm-the Power Method Algorithm (PMA), which is inspired by the power iteration method to solve complex optimization problems. …”
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A novel meta-heuristic algorithm based on candidate cooperation and competition by Yue Cong, Bingnan Yang, Jie Wei

“…Abstract Traditional meta-heuristic algorithms are often inspired by natural phenomena or biological behaviors, while relatively few are based on human social behavior. …”
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Optimization of thermal conductivity in coir fibre-reinforced PVC composites using advanced computational techniques by Saksham Anand, Venkatachalam Gopalan, Shenbaga Velu Pitchumani

“…Abstract This research focuses on enhancing the thermal conductivity of coir fibre-reinforced polyvinyl chloride (PVC) composites using advanced optimization techniques. While coir fibre adds sustainability and biodegradability, it poses challenges in achieving optimal thermal performance when integrated into PVC. …”
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A mini review on AI-driven thermal treatment of solid waste: Emission control and process optimization by Dongjie Pang, Cristina Moliner, Tao Wang, Jin Sun, Xinyan Zhang, Yingping Pang, Xiqiang Zhao, Zhanlong Song, Ziliang Wang, Yanpeng Mao, Wenlong Wang

“…This review examines the deployment of AI-optimized control algorithms in processes including pyrolysis, incineration, and gasification. …”
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Estimation of Fresh and Hardened Properties of Self-Compacting Concrete by Optimized Radial Basis Function Methods by David Cadasse, Antonio Fontana

“…All in all, the RBFNN model developed by AOA outperforms others, with R2 values at 0.9607 (slump flow), 0.9651 (L-box), 0.9905 (V-funnel test), and 0.9934 (compressive strength), which depicts the capability of this algorithm for determining the optimal parameters of the RBFNN, While, it is worth mentioning than the model developed with GOA algorithm is also powerful.…”
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Multi-objective recommendation system utilizing a multi-population knowledge migration framework by Liang Chu, Ye Tian

“…Within this framework, we design three distinct optimization paths aimed at enhancing the convergence performance of the multi-objective algorithm and improving the hypervolume value metric of results. …”
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Application of Twisting Controller and Modified Pufferfish Optimization Algorithm for Power Management in a Solar PV System with Electric-Vehicle and Load-Demand Integration by Arunesh Kumar Singh, Rohit Kumar, D. K. Chaturvedi, Ibraheem, Gulshan Sharma, Pitshou N. Bokoro, Rajesh Kumar

“…The power management controller is a combination of the twisting sliding-mode controller (TSMC) and Modified Pufferfish Optimization Algorithm (MPOA). The proposed method is implemented, and the application results are matched with the Mountain Gazelle Optimizer (MSO) and Beluga Whale Optimization (BWO) Algorithm by evaluating the PV power output, EV power, battery-power and battery-energy utilization, grid power, and grid price to show the merits of the proposed work.…”
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A hybrid GA-SA resource allocation scheme enhanced with SINR optimization for NOMA-MIMO systems in 5G networks by Murad Halabouni, Mardeni Roslee, Sufian Mousa Ibrahim Mitani, Osama M.S. Abujawa, Anwar Faizd Osman, Fatimah Zaharah Ali

“…Genetic Algorithm (GA) optimizes user pairing by evolving high-throughput configurations, while Simulated Annealing (SA) refines power allocation to maximize Signal-to-Interference-plus-Noise Ratio (SINR) and minimize interference. …”
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