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  • 1
    Online Resource
    Online Resource
    New York : Academic Press
    Keywords: Datenverarbeitung ; Mehrkriterielle Optimierung ; Operations Research ; Optimierung ; Decision making Data processing ; Planning Data processing ; Programming (Mathematics) ; Mehrkriterielle Optimierung ; Operations Research ; Optimierung
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (1 online resource (xiv, 333 p.)) , ill
    Series Statement: Mathematics in science and engineering v. 140
    DDC: 658.4/0120285
    RVK:
    RVK:
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    Language: English
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Evolutionary ecology 12 (1997), S. 73-94 
    ISSN: 1573-8477
    Keywords: adaptive behaviour ; environmental complexity ; multi-objective optimization ; single-objective optimization ; trade-offs ; variability
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract A major objective in behavioural and evolutionary ecology is to understand how animals make decisions in complex environments. Examinations of animal behaviour typically use optimization models to predict the choices animals ought to make. The performance of animals under specific conditions is then compared against the predicted optimal strategy. This optimization approach has come into question because model predictions often do not match animal behaviour exactly. This has led to serious scepticism about the ability of animals to exhibit optimal behaviour in complex environments. We show that conventional approaches that compare observed animal behaviour with single optimal values may bias the way we view real-world variation in animal performance. Considerable insight into the abilities of animals to make optimal decisions can be gained by interpreting why variability in performance exists. We introduce a new theoretical framework, called ‘multi-objective optimization’, which allows us to examine decision-making in complex environments and interpret the meaning of variability in animal performance. A multi-objective approach defines the set of efficient choices animals may make in attempting to reach compromises among multiple conflicting demands. In a multi-objective framework, we may see variation in animal choices, but, unlike single-objective optimizations where there is one ‘best solution’, this variation may represent a range of adaptive compromises to conflicting objectives. An important feature of this approach is that, within the set of efficient alternatives, no choice can be considered to yield higher fitness, a priori, than any other choice. Thus, variability and optimal behaviour may be entirely consistent. We illustrate our point using selected examples from foraging theory where there is already an optimization program in place.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Annals of operations research 18 (1989), S. 303-322 
    ISSN: 1572-9338
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics , Economics
    Notes: Abstract A location model is proposed for emergency medical service systems to solve the multiobjective location problem of minimizing mean response time and balancing facility workload. Location solutions generated from the model are tested with simulation and are shown to be quite realistic with regard to mean response time prediction and facility allocation. This efficiency is determined to be directly attributable to workload constraints.
    Type of Medium: Electronic Resource
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