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Solving time cost optimization problem with adaptive multi-verse optimizer
The construction industry holds a central role globally, marked by its unique attributes that lead to distinct challenges. Given projects in this...
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Cost optimization of cloud-edge-fog federated systems with bidirectional offloading: one-hop versus two-hop
Edge and fog computing technologies are akin to cloud computing but operate in closer proximity to users, offering similar services on a more widely...
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Plant production yield optimization and cost-effectiveness using an innovative artificial multiple intelligence system
The endeavor to augment the productivity of agricultural commodities is fundamentally contingent upon the establishment of optimal cultivation...
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Cost-based Optimization of Multistore Query Plans
Multistores are data management systems that enable query processing across different and heterogeneous databases; besides the distribution of data,...
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Dynamical modelling and cost optimization of a 5G base station for energy conservation using feedback retrial queue with slee** strategy
Dense network deployment is now being evaluated as one of the viable solutions to meet the capacity and connectivity requirements of the...
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A Low-Cost Alternating Projection Approach for a Continuous Formulation of Convex and Cardinality Constrained Optimization
We consider convex constrained optimization problems that also include a cardinality constraint. In general, optimization problems with cardinality...
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DEA-based proportional-sharing fixed cost allocation considering bi-objective optimization
This paper proposes a new proportional-sharing approach for fixed cost allocation (FCA) among a group of decision-making units (DMUs) based on data...
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Does the energy-related greenhouse gas emission abatement cost depend on the optimization direction: shadow pricing based on the weak disposability technology in the European Union agriculture
The European Green Deal and similar strategies seek to improve sustainability of the agricultural sector via public support programmes. It is...
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Towards a Fitting Representation Method for Redesign Evaluation and Cost-Based Optimization
The prospect of continuously modifying and improving the various business operations played a central role in the evolution of the concept of...
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Enhanced migrating birds optimization algorithm for optimization problems in different domains
Migrating birds optimization algorithm is a promising metaheuristic algorithm recently introduced to the optimization community. In this study, we...
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Cost Accounting Perspectives
The primary objective of cost accounting is to generate and provide business information to support decision-makers. Manufacturing encompasses a...
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Stochastic Optimization Methods
Basic methods for treating stochastic optimization problems (SOP), hence, optimization problems with random data are presented: Optimization problems...
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A Novel Robust Flexible Minimum Cost Consensus Model with Consensus Granule
In the consensus reaching process of group decision making (GDM), consensus measures do not require the consensus opinions of all decision makers....
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Keyword-Level Bayesian Online Bid Optimization for Sponsored Search Advertising
Bid price optimization in online advertising is a challenging task due to its high uncertainty. In this paper, we propose a bid price optimization...
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An optimization approach to the link between productivity, relocation cost and corruption
This paper aims to model the link between productivity, relocation cost and corruption by applying game theory. Firms sometimes compete with one...
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Genetic algorithm optimization based on manufacturing prediction for an efficient tolerance allocation approach
The tolerance allocation is an extremely sensitive task due to the complex effects on quality, product, and cost. Thus, tolerance allocation...
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Solving the minimum-cost double Roman domination problem
Double Roman domination (DRD) is a combinatorial optimization problem posed on undirected graphs. It can be interpreted as allocating certain service...
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Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks
Injection molding is a widely used manufacturing technology for the mass production of plastic parts. Despite the importance of process optimization...
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Patient referral strategy and cost sharing for a medical consortium
In this paper, we investigate the problem of sharing medical resources through patient referrals for hospitals in a medical consortium. We address...
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Optimization Under Uncertainty
This chapter discusses several aspects of relevance in optimization under uncertainty. Different paradigms are reviewed, such as Robust Optimization,...