Subquery Allocation Problem and Heuristics for Secret Sharing Distributed Database System by Toshiyuki Miyamoto, Takeshi Ikemura

“…At first, we formulated the subquery allocation problem as a constraints satisfaction problem. Since the subquery allocation problem is NP-complete in general, it is not easy to obtain the optimal solution in practical time. …”
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Optimal adaptive heuristic algorithm based energy optimization with flexible loads using demand response in smart grid. by Hisham Alghamdi, Lyu-Guang Hua, Ghulam Hafeez, Sadia Murawwat, Imen Bouazzi, Baheej Alghamdi

“…Time-varying pricing, intermittent renewable energy, domestic appliance energy demand, storage battery, and grid constraints are all incorporated into the model. The optimal adaptive wind-driven optimization (OAWDO) method is a stochastic optimization technique designed to manage supply, demand, and power price uncertainties. …”
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A Metaheuristic Method for the Task Assignment Problem in Continuous-Casting Production by Hongtao Hu, Yiwei Wu, Tingsong Wang

“…This problem is formulated as a nonlinear mixed-integer programming model aimed at minimizing total tardiness within the resource constraints and time windows constraints for the tasks. …”
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A Simple and Efficient Local Search Algorithm for the Machine Reassignment Problem by Darío Canales, María-Cristina Riff, Elizabeth Montero

“…The goal is to obtain a redistribution of the processes according to some optimization criteria, satisfying a set of constraints. …”
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Basketball team optimization algorithm (BTOA): a novel sport-inspired meta-heuristic optimizer for engineering applications by Yujie Chen, Guangyu Wang, Baichuan Yin, Chongyun Ma, Zhiqiao Wu, Ming Gao

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Research on artificial intelligence-driven container relocation problem for green ports by Sisi Zheng, Jin Sha, Yinying Kong, Yougan Wang

“…IntroductionContainer relocation in port yards represents a canonical NP-hard problem, characterized by high-dimensional nonlinear constraints and stringent real-time decision-making requirements.MethodsThis study proposes a unified framework integrating an Intelligent Decision-Driven Model (IDDM), an Adaptive Data Generator (ADG), and an Optimization–Learning Closed-Loop Framework (OLCF).ResultsThe IDDM leverages heuristic search and machine learning within a multi-stage decision mechanism to mitigate the curse of dimensionality; in two-dimensional scenarios involving 50–100 containers, the model achieves an average response time of 9.83 ± 0.12 µs and reduces relocation operations by 61.68%. …”
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Constrained Bayesian Optimization: A Review by Sasan Amini, Inneke Vannieuwenhuyse, Alejandro Morales-Hernandez

“…Though it has been widely used to solve various optimization tasks, most of the literature has focused on unconstrained settings, while many real-world problems are characterized by constraints. …”
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Constrained Multiobjective Biogeography Optimization Algorithm by Hongwei Mo, Zhidan Xu, Lifang Xu, Zhou Wu, Haiping Ma

“…Multiobjective optimization involves minimizing or maximizing multiple objective functions subject to a set of constraints. …”
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A Model for Bus Crew Scheduling Problem with Multiple Duty Types by Mingming Chen, Huimin Niu

“…This paper presents an approach for solving the bus crew scheduling problem which considers early, day, and late duty modes with time shift and work intensity constraints. …”
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Fair Optimization and Networks: A Survey by Wlodzimierz Ogryczak, Hanan Luss, Michał Pióro, Dritan Nace, Artur Tomaszewski

“…This paper reviews fair optimization models and methods applied to systems that are based on some kind of network of connections and dependencies, especially, fair optimization methods for the location problems and for the resource allocation problems in communication networks.…”
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Two-Step Quantum Search Algorithm for Solving Traveling Salesman Problems by Rei Sato, Cui Gordon, Kazuhiro Saito, Hideyuki Kawashima, Tetsuro Nikuni, Shohei Watabe

“…Quantum search algorithms, such as Grover's algorithm, are anticipated to efficiently solve constrained combinatorial optimization problems. However, applying these algorithms to the traveling salesman problem (TSP) on a quantum circuit presents a significant challenge. …”
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Electric Vehicle Routing Problem: A Review of Recent Approaches and Algorithms by Yingkai XU

“…Then, the problem is classified according to energy consumption models, charging strategies, and constraints. …”
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Distributed Constrained Optimization Algorithms for Drones by Hongzhe Liu

“…The primary objective is to develop a distributed algorithm capable of tackling this optimization problem. To achieve this, we have crafted distributed algorithms for both balanced graphs and unbalanced graphs, with the method of feasible direction employed to address the considered constraint, and the method of estimating left eigenvector to address the unbalance, incorporating momentum elements. …”
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PROBLEMS RELATED TO THE EU 28th LEGAL REGIME: THE BULGARIAN PERSPECTIVE by Emil Asenov, Georgi Ranchev

“…The analysis of the existing problems shows that innovation must be at the heart of European revival, while removing other constraints that hinder growth. …”
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Fractional Calculus of Variations for Composed Functionals with Generalized Derivatives by Ricardo Almeida

“…We explore problems with integral and holonomic constraints and consider higher-order derivatives, where the fractional orders are free.…”
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Research on PBS buffer scheduling strategy problems based on genetic algorithms by Zhang Yaodan, Shi Yuanbo, Xu Jianjun, Wei Zhiye

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Wind Farm Layout Optimization/Expansion of Real Wind Turbines with a Parallel Collaborative Multi-Objective Optimization Algorithm by Houssem R. E. H. Bouchekara, Makbul A. M. Ramli, Mohammad S. Javaid

“…The objective of this paper is to study the Wind Farm Layout Optimization/expansion problem. This problem is formulated here as a Multi-Objective Optimization Problem considering the total power output and net efficiency of Wind Farms as objectives along with specific constraints. …”
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Modeling of 3 SAT discrete Hopfield neural network optimization using genetic algorithm optimized K-modes clustering by Xiaojun Xie, Saratha Sathasivam, Hong Ma

“…Concrete examples illustrated the design process of network synaptic weights when constraints were added, removed, or updated, offering new approaches for managing the evolving constraints in SAT problems. …”
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Dockless bike-sharing system: Solving the problem of faulty bikes with simultaneous rebalancing operation by Muhammad Usama, Onaira Zahoor, Yongjun Shen, Qiong Bao

“…The mechanism is based on minimizing the total cost of the rebalancing operation by optimizing the formulated problem, supported by time and capacity constraints. …”
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Optimal Contracts for Agents with Adverse Selection by Chao Li, Zhijian Qiu

“…With these models, we investigate the characters that make an optimal contract as well as the conditions under which the utility of a principal and agents can be optimized. …”
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