A multi-objective heuristic particle swarm optimiser (MOHPSO) based on Pareto multi-objective theory is proposed to solve multi-objective optimality problems. The optimality objectives are the roof displacement and structure weight. Two types of structure are analysed in this paper, a truss structure and a framework structure. Performance-based seismic analysis, such as classical and modal push...

In this chapter, we explore the implications of Optimality Theory (OT) for speech-language pathology.. But at the time of writing, the most accessible readings in OT for the speech-language pathologist are to be found in Bernhardt, Gilbert, and Ingram (1996). The first part of the chapter outlines major aspects of OT, and the second part discusses application of this theory to phonological inte...

René Kager’s textbook is one of the first to cover Optimality Theory (OT), a declarative grammar framework that swiftly took over phonology after it was introduced by Prince, Smolensky, and McCarthy in 1993. OT reclaims traditional grammar’s ability to express surface generalizations (“syllables have onsets,” “no nasal+voiceless obstruent clusters”). Empirically, some surface generalizations ar...

In this paper, the realization-free model approximation problem, as stated in [1, 2], is revisited in the case where the interpolating model might be time-delay dependent. To this aim, the Loewner framework, initially settled for delay-free realization, is firstly generalized to the single delay case. Secondly, the (infinite) model approximation H2 optimality conditions are established through ...