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MANET plays a key role in the contemporary improvements in technology and services that dynamically builds up the network connection bringing about a variation in network topology. If any malevolent activity inside the network otherwise in the system occurs it is monitored by software application or device called Intrusion or Invader Detection System (IDS). The power utilization is more in MANET as the IDS needs to be active for the whole time on each node. Considering this, we have designed a clustering-based proposal for Ad-hoc networks. To lower the communication overhead, the CH detection is called upon for establishing the path Weighted Clustering Algorithm (DCA) that is utilized to construct path. The proposed Distributed Clustering Algorithm dependent Invader Detection System (DCAIDS) is designed such that it reduces the overall delay during transmission in a network. The intruder attacks are identified by IDS and that particular nodes are detached from the cluster. When the particular target node receives the packets, it acknowledges its reception by sending RREP message so that the sender can send the intended data packets thereafter. Thus, an efficient and delay tolerant path is established which in turn intensifies the certainty of MANET.

This paper presents a brief survey on various optimization algorithms. To be more precise, the paper elaborates on clever Algorithms – a class of Nature inspired Algorithms. The Nature Inspired Computing (NIC) is an emerging area of research that focuses on Physics and Biology Based approach to the Algorithms for optimization. The Algorithms briefed in this paper have understood, explained, adapted and replicated the phenomena of Nature to replicate them in the artificial systems. This Cross – fertilisation of Nature Inspired Computing (NIC) and Computational Intelligence (CI) will definitely provide optimal solutions to existing problems and also open up new arenas in Research and Development. This paper briefs the classification of clever algorithms and the key strategies employed for optimization.