WebAbstract. This paper considers online convex optimization with hard constraints and analyzes achievable regret and cumulative hard constraint violation (violation for short). The problem distinguishes itself from online convex optimization with soft constraints, where a violation at one round can be compensated/cancelled by a conservative ... WebNov 24, 2005 · Some extensions of metaheuristics for continuous optimization, multimodal optimization, multiobjective optimization and contrained evolutionary optimization are described and some of the existing techniques and some ways of research are presented. Metaheuristics for Hard Optimization comprises of three parts. The first part is devoted …
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