The Cost of Communication: Environmental Pressure and Survivability in mEDEA
Paechter, B. (2015). The Cost of Communication: Environmental Pressure and Survivability in mEDEA. In: Silva, S. (Ed.) GECCO'15: 2015 Genetic and Evolutionary Computation Conference Companion, , () ( ed.). (pp. ). Madrid, Spain: . ACM SIGEVO.
We augment the mEDEA algorithm to explicitly account for the costs of communication between robots. Experimental results show that adding a costs for communication exerts environmental pressure to implicitly select for genomes that maintain high energy levels.
We compare our two methods which vary broadcasting based on the individuals fitness to vanilla mEDEA bundled with an explicit selection method under these new conditions and find that biasing broadcasting has a negative effect on survivability.
Director of CEC
+44 131 455 2783
+44 131 455
Director of Research
+44 131 455 2764
Areas of Expertise
See all areas of expertise
The Bio-Inspired Algorithms group within the Centre for Algorithms, Visualisation and Evolving Systems is a large and thriving group with interests in nature-inspired computing that include Evolutionary Computing, Hyper-Heuristics, Artificial Immune Systems and Swarm Intelligence.