Conservation Biology, EarlyView.Abstract In multiuse areas outside formal protection, sustaining both wildlife and people is critical to wildlife conservation and coexistence efforts. Botswana's Kalahari hosts one of sub‐Saharan Africa’s largest unprotected areas supporting free‐ranging wildlife.
Marie‐Charlotte Gielen +7 more
wiley +1 more source
From Coase to culture? Visible Hands Build Equilibria
Economica, EarlyView.Abstract This essay proposes that the classic distinction between firms and markets in Ronald Coase's 1937 paper ‘The nature of the firm’ (Economica, vol. 4, pp. 386–405) be gracefully retired, having been duly celebrated for its field‐launching contribution to organizational economics.
Robert Gibbons
wiley +1 more source
Performance of Decomposition-Based Many-Objective Algorithms Strongly Depends on Pareto Front Shapes
IEEE Transactions on Evolutionary Computation, 2017 H. Ishibuchi +3 more
semanticscholar +1 more source
Balancing efficiency and robustness in project team formation: a hybrid evolutionary‐MCDM approach
International Transactions in Operational Research, EarlyView.Abstract Effective team formation requires balancing technical skills, personality compatibility, and project constraints when selecting small teams from large candidate pools. Traditional multi‐criteria decision‐making (MCDM) methods provide rigorous evaluation but face scalability limitations.
Georgios Stavrou +2 more
wiley +1 more source
Data-Driven Preference Sampling for Pareto Front Learning
Pareto front learning is a technique that introduces preference vectors in a neural network to approximate the Pareto front. Previous Pareto front learning methods have demonstrated high performance in approximating simple Pareto fronts.
Zhang, Jinyuan +4 more
core
Guest Editorial: Computational Intelligence in Dynamic and Uncertain Environments
CAAI Transactions on Intelligence Technology, EarlyView.
Shouyong Jiang
wiley +1 more source
The one‐dimensional cutting stock problem with sequence‐dependent setups
International Transactions in Operational Research, EarlyView.Abstract The cutting stock problem (CSP) is a classic operations research problem with several applications in real‐world scenarios. It involves cutting large objects into smaller items to satisfy customer demands, minimizing the number of cut objects.
Eduardo M. Silva +3 more
wiley +1 more source
Fairness‐aware insurance pricing: A multi‐objective optimization approach
Journal of Risk and Insurance, EarlyView.Abstract Machine‐learning models can provide accurate predictions in insurance pricing, but can also increase disparities between protected groups. Existing fairness‐aware pricing approaches typically target one fairness notion at a time, making it difficult to compare trade‐offs between predictive accuracy, group fairness, individual fairness, and ...
Tim J. Boonen, Xinyue Fan, Zixiao Quan
wiley +1 more source
Multifunctional multiphysics metamaterials via decomposition-based multiobjective optimization design. [PDF]
Proc Natl Acad Sci U S AChen Z +6 more
europepmc +1 more source
Lessons on State and Local Income Taxes From the Twenty‐First Century and Challenges for the Future
Public Budgeting &Finance, EarlyView.Abstract I survey recent research on subnational income tax policy, arguing that a defining feature is geography. Geographic boundaries limit the power of subnational governments to tax people and activities. The article discusses where income should be taxed and the effects of these tax rules on the interjurisdictional mobility of people and jobs.
David R. Agrawal
wiley +1 more source