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ACT can apply EC techniques to a wide range of problem areas or integrate these, and associated technologies, with current systems to provide support and enhancement to existing processes.

Typical applications include solution search, exploration and optimisation in the areas of: 

  • Drug Discovery and Design
  • Engineering design 
  • Resource scheduling
  • Timetabling
  • Project and Programme Management 
  • Facility layout 
  • Product design 
  • Data mining 
  • Systems identification
  • Response curve modelling 
  • Optimal loading and packing 
  • Structural design 
  • Stock production, storage and movement
  • Minimisation of material usage 
  • Routing problems relating to pipe networks, power supply etc 
  • Portfolio design 
  • Organisational optimisation

The significant benefits offered by the appropriate use of these technologies is very apparent from their successful application in a wide range of problem areas. ACT can provide extensive examples of successful application and integration.

Even a relatively simple application can often result in significant savings of time and cost, in addition to overall product improvement.  



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advanced, computational, technology, evolutionary, algorithm, genetic, evolutionary computation, search space, heuristic, adaptive, Simulated Annealing, Tabu Search, Ant Colony Models, Genetic Programming, Software Agent, Neural Networks, Drug Design, Engineering design, Resource scheduling, timetabling, Project, Programme, Management, Facility, layout, Product, design, Data mining, Systems identification, Response curve, modelling, Optimal loading, packing, Structural design, Stock production, storage, Minimisation, material usage, Routing problems, pipe networks, power supply, Portfolio design, Organisational optimisation