Abstract: In scenarios where multiple decision-makers operate within a common decision space, each focusing on their own multi-objective optimization problem (e.g., bargaining games), the problem can ...
Cognizant CAIO Babak Hodjat on agentic AI, sovereign compute, and how India’s AI ecosystem can scale through infrastructure, design, and collaboration, interview ...
The journal retracts the 24th June 2022 article cited above. Following publication, concerns were identified regarding the peer review process and content of this article. Following an investigation ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
With this notice, Frontiers wishes to alert readers that this article has been identified as being outside the journal’s stated scope. In accordance with our publishing policies, we have initiated an ...
Abstract: dynamic multiobjective optimization (DMO) problems are prevalent in many practical applications and have garnered significant attention from both industry and academia, leading to the ...
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