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ACT has extensive experience of the application and integration of a range of Evolutionary and Adaptive Computing and complementary computational intelligence techniques, including: 
  • Genetic Algorithms
  • Simulated Annealing 
  • Tabu Search 
  • Ant Colony Models 
  • Genetic Programming 
  • Software Agent Design 
  • Neural Networks 

Evolutionary techniques offer powerful search and exploration capabilities for the identification of high-performance, novel and competitive solutions to industrial and commercial problems defined by many interacting variable parameters. 

Appropriate utilisation can ensure that search across a far wider space of possible problem solutions is achievable within time and budget constraints.

ACT can provide systems based on a wide range of base technology and platforms, including C++, Java, Visual Basic, SQL, Windows, UNIX etc.

Schwefel's Optimisation Test Function


Advanced Computational Technology Benefits

Competitive Edge
The use of the techniques outlined on this site can give your business a competitive edge, by enabling you to move through the various phases from conceptual design to product development more quickly.

Flexibility
The flexibility of the various available techniques enables their easy integration with a wide range of problem areas and many types of problem simulation. 

Cost Savings
In our experience even relatively simple applications can result in a significant savings in time and cost, in addition to overall product improvement. 

Optimisation
In more complex problem areas the appropriate use of these techniques can deliver high-performance solutions that satisfy conflicting objectives whilst their exploratory nature can also overcome the presence of complex constraints ensuring the identification of optimal feasible solutions.



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